A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research

preprint OA: closed
Full text JSON View at publisher
Full text 160,901 characters · extracted from preprint-html · click to expand
A Bibliometric Analysis of Music's Role in... | F1000Research "use strict";function _typeof(t){return(_typeof="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}!function(){var t=function(){var t,e,o=[],n=window,r=n;for(;r;){try{if(r.frames.__tcfapiLocator){t=r;break}}catch(t){}if(r===n.top)break;r=r.parent}t||(!function t(){var e=n.document,o=!!n.frames.__tcfapiLocator;if(!o)if(e.body){var r=e.createElement("iframe");r.style.cssText="display:none",r.name="__tcfapiLocator",e.body.appendChild(r)}else setTimeout(t,5);return!o}(),n.__tcfapi=function(){for(var t=arguments.length,n=new Array(t),r=0;r 3&&2===parseInt(n[1],10)&&"boolean"==typeof n[3]&&(e=n[3],"function"==typeof n[2]&&n[2]("set",!0)):"ping"===n[0]?"function"==typeof n[2]&&n[2]({gdprApplies:e,cmpLoaded:!1,cmpStatus:"stub"}):o.push(n)},n.addEventListener("message",(function(t){var e="string"==typeof t.data,o={};if(e)try{o=JSON.parse(t.data)}catch(t){}else o=t.data;var n="object"===_typeof(o)&&null!==o?o.__tcfapiCall:null;n&&window.__tcfapi(n.command,n.version,(function(o,r){var a={__tcfapiReturn:{returnValue:o,success:r,callId:n.callId}};t&&t.source&&t.source.postMessage&&t.source.postMessage(e?JSON.stringify(a):a,"*")}),n.parameter)}),!1))};"undefined"!=typeof module?module.exports=t:t()}(); dataLayer = dataLayer || []; // Standard GTM initialization - Google Consent Mode handles consent automatically (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl+ '>m_auth=hzk0Vc3qFsQYhCrIoHz68A>m_preview=env-1>m_cookies_win=x';f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-MWFK8L5J'); ;window.NREUM||(NREUM={});NREUM.init={distributed_tracing:{enabled:true},privacy:{cookies_enabled:true},ajax:{deny_list:["bam.nr-data.net"]}}; ;NREUM.loader_config={accountID:"438030",trustKey:"438030",agentID:"772317073",licenseKey:"97f8f67f26",applicationID:"772317073"} ;NREUM.info={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net",licenseKey:"97f8f67f26",applicationID:"772317073",sa:1} ;/*! For license information please see nr-loader-spa-1.236.0.min.js.LICENSE.txt */ (()=>{"use strict";var e,t,r={5763:(e,t,r)=>{r.d(t,{P_:()=>l,Mt:()=>g,C5:()=>s,DL:()=>v,OP:()=>T,lF:()=>D,Yu:()=>y,Dg:()=>h,CX:()=>c,GE:()=>b,sU:()=>_});var n=r(8632),i=r(9567);const o={beacon:n.ce.beacon,errorBeacon:n.ce.errorBeacon,licenseKey:void 0,applicationID:void 0,sa:void 0,queueTime:void 0,applicationTime:void 0,ttGuid:void 0,user:void 0,account:void 0,product:void 0,extra:void 0,jsAttributes:{},userAttributes:void 0,atts:void 0,transactionName:void 0,tNamePlain:void 0},a={};function s(e){if(!e)throw new Error("All info objects require an agent identifier!");if(!a[e])throw new Error("Info for ".concat(e," was never set"));return a[e]}function c(e,t){if(!e)throw new Error("All info objects require an agent identifier!");a[e]=(0,i.D)(t,o),(0,n.Qy)(e,a[e],"info")}var u=r(7056);const d=()=>{const e={blockSelector:"[data-nr-block]",maskInputOptions:{password:!0}};return{allow_bfcache:!0,privacy:{cookies_enabled:!0},ajax:{deny_list:void 0,enabled:!0,harvestTimeSeconds:10},distributed_tracing:{enabled:void 0,exclude_newrelic_header:void 0,cors_use_newrelic_header:void 0,cors_use_tracecontext_headers:void 0,allowed_origins:void 0},session:{domain:void 0,expiresMs:u.oD,inactiveMs:u.Hb},ssl:void 0,obfuscate:void 0,jserrors:{enabled:!0,harvestTimeSeconds:10},metrics:{enabled:!0},page_action:{enabled:!0,harvestTimeSeconds:30},page_view_event:{enabled:!0},page_view_timing:{enabled:!0,harvestTimeSeconds:30,long_task:!1},session_trace:{enabled:!0,harvestTimeSeconds:10},harvest:{tooManyRequestsDelay:60},session_replay:{enabled:!1,harvestTimeSeconds:60,sampleRate:.1,errorSampleRate:.1,maskTextSelector:"*",maskAllInputs:!0,get blockClass(){return"nr-block"},get ignoreClass(){return"nr-ignore"},get maskTextClass(){return"nr-mask"},get blockSelector(){return e.blockSelector},set blockSelector(t){e.blockSelector+=",".concat(t)},get maskInputOptions(){return e.maskInputOptions},set maskInputOptions(t){e.maskInputOptions={...t,password:!0}}},spa:{enabled:!0,harvestTimeSeconds:10}}},f={};function l(e){if(!e)throw new Error("All configuration objects require an agent identifier!");if(!f[e])throw new Error("Configuration for ".concat(e," was never set"));return f[e]}function h(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");f[e]=(0,i.D)(t,d()),(0,n.Qy)(e,f[e],"config")}function g(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");var r=l(e);if(r){for(var n=t.split("."),i=0;i {r.d(t,{D:()=>i});var n=r(50);function i(e,t){try{if(!e||"object"!=typeof e)return(0,n.Z)("Setting a Configurable requires an object as input");if(!t||"object"!=typeof t)return(0,n.Z)("Setting a Configurable requires a model to set its initial properties");const r=Object.create(Object.getPrototypeOf(t),Object.getOwnPropertyDescriptors(t)),o=0===Object.keys(r).length?e:r;for(let a in o)if(void 0!==e[a])try{"object"==typeof e[a]&&"object"==typeof t[a]?r[a]=i(e[a],t[a]):r[a]=e[a]}catch(e){(0,n.Z)("An error occurred while setting a property of a Configurable",e)}return r}catch(e){(0,n.Z)("An error occured while setting a Configurable",e)}}},6818:(e,t,r)=>{r.d(t,{Re:()=>i,gF:()=>o,q4:()=>n});const n="1.236.0",i="PROD",o="CDN"},385:(e,t,r)=>{r.d(t,{FN:()=>a,IF:()=>u,Nk:()=>f,Tt:()=>s,_A:()=>o,il:()=>n,pL:()=>c,v6:()=>i,w1:()=>d});const n="undefined"!=typeof window&&!!window.document,i="undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self.navigator instanceof WorkerNavigator||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis.navigator instanceof WorkerNavigator),o=n?window:"undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis),a=""+o?.location,s=/iPad|iPhone|iPod/.test(navigator.userAgent),c=s&&"undefined"==typeof SharedWorker,u=(()=>{const e=navigator.userAgent.match(/Firefox[/\s](\d+\.\d+)/);return Array.isArray(e)&&e.length>=2?+e[1]:0})(),d=Boolean(n&&window.document.documentMode),f=!!navigator.sendBeacon},1117:(e,t,r)=>{r.d(t,{w:()=>o});var n=r(50);const i={agentIdentifier:"",ee:void 0};class o{constructor(e){try{if("object"!=typeof e)return(0,n.Z)("shared context requires an object as input");this.sharedContext={},Object.assign(this.sharedContext,i),Object.entries(e).forEach((e=>{let[t,r]=e;Object.keys(i).includes(t)&&(this.sharedContext[t]=r)}))}catch(e){(0,n.Z)("An error occured while setting SharedContext",e)}}}},8e3:(e,t,r)=>{r.d(t,{L:()=>d,R:()=>c});var n=r(2177),i=r(1284),o=r(4322),a=r(3325);const s={};function c(e,t){const r={staged:!1,priority:a.p[t]||0};u(e),s[e].get(t)||s[e].set(t,r)}function u(e){e&&(s[e]||(s[e]=new Map))}function d(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"feature";if(u(e),!e||!s[e].get(t))return a(t);s[e].get(t).staged=!0;const r=[...s[e]];function a(t){const r=e?n.ee.get(e):n.ee,a=o.X.handlers;if(r.backlog&&a){var s=r.backlog[t],c=a[t];if(c){for(var u=0;s&&u {let[t,r]=e;return r.staged}))&&(r.sort(((e,t)=>e[1].priority-t[1].priority)),r.forEach((e=>{let[t]=e;a(t)})))}function f(e,t){var r=e[1];(0,i.D)(t[r],(function(t,r){var n=e[0];if(r[0]===n){var i=r[1],o=e[3],a=e[2];i.apply(o,a)}}))}},2177:(e,t,r)=>{r.d(t,{c:()=>f,ee:()=>u});var n=r(8632),i=r(2210),o=r(1284),a=r(5763),s="nr@context";let c=(0,n.fP)();var u;function d(){}function f(e){return(0,i.X)(e,s,l)}function l(){return new d}function h(){u.aborted=!0,u.backlog={}}c.ee?u=c.ee:(u=function e(t,r){var n={},c={},f={},g=!1;try{g=16===r.length&&(0,a.OP)(r).isolatedBacklog}catch(e){}var p={on:b,addEventListener:b,removeEventListener:y,emit:v,get:x,listeners:w,context:m,buffer:A,abort:h,aborted:!1,isBuffering:E,debugId:r,backlog:g?{}:t&&"object"==typeof t.backlog?t.backlog:{}};return p;function m(e){return e&&e instanceof d?e:e?(0,i.X)(e,s,l):l()}function v(e,r,n,i,o){if(!1!==o&&(o=!0),!u.aborted||i){t&&o&&t.emit(e,r,n);for(var a=m(n),s=w(e),d=s.length,f=0;fn,p:()=>i});var n=r(2177).ee.get("handle");function i(e,t,r,i,o){o?(o.buffer([e],i),o.emit(e,t,r)):(n.buffer([e],i),n.emit(e,t,r))}},4322:(e,t,r)=>{r.d(t,{X:()=>o});var n=r(5546);o.on=a;var i=o.handlers={};function o(e,t,r,o){a(o||n.E,i,e,t,r)}function a(e,t,r,i,o){o||(o="feature"),e||(e=n.E);var a=t[o]=t[o]||{};(a[r]=a[r]||[]).push([e,i])}},3239:(e,t,r)=>{r.d(t,{bP:()=>s,iz:()=>c,m$:()=>a});var n=r(385);let i=!1,o=!1;try{const e={get passive(){return i=!0,!1},get signal(){return o=!0,!1}};n._A.addEventListener("test",null,e),n._A.removeEventListener("test",null,e)}catch(e){}function a(e,t){return i||o?{capture:!!e,passive:i,signal:t}:!!e}function s(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;window.addEventListener(e,t,a(r,n))}function c(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;document.addEventListener(e,t,a(r,n))}},4402:(e,t,r)=>{r.d(t,{Ht:()=>u,M:()=>c,Rl:()=>a,ky:()=>s});var n=r(385);const i="xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx";function o(e,t){return e?15&e[t]:16*Math.random()|0}function a(){const e=n._A?.crypto||n._A?.msCrypto;let t,r=0;return e&&e.getRandomValues&&(t=e.getRandomValues(new Uint8Array(31))),i.split("").map((e=>"x"===e?o(t,++r).toString(16):"y"===e?(3&o()|8).toString(16):e)).join("")}function s(e){const t=n._A?.crypto||n._A?.msCrypto;let r,i=0;t&&t.getRandomValues&&(r=t.getRandomValues(new Uint8Array(31)));const a=[];for(var s=0;s {r.d(t,{Bq:()=>n,Hb:()=>o,oD:()=>i});const n="NRBA",i=144e5,o=18e5},7894:(e,t,r)=>{function n(){return Math.round(performance.now())}r.d(t,{z:()=>n})},7243:(e,t,r)=>{r.d(t,{e:()=>o});var n=r(385),i={};function o(e){if(e in i)return i[e];if(0===(e||"").indexOf("data:"))return{protocol:"data"};let t;var r=n._A?.location,o={};if(n.il)t=document.createElement("a"),t.href=e;else try{t=new URL(e,r.href)}catch(e){return o}o.port=t.port;var a=t.href.split("://");!o.port&&a[1]&&(o.port=a[1].split("/")[0].split("@").pop().split(":")[1]),o.port&&"0"!==o.port||(o.port="https"===a[0]?"443":"80"),o.hostname=t.hostname||r.hostname,o.pathname=t.pathname,o.protocol=a[0],"/"!==o.pathname.charAt(0)&&(o.pathname="/"+o.pathname);var s=!t.protocol||":"===t.protocol||t.protocol===r.protocol,c=t.hostname===r.hostname&&t.port===r.port;return o.sameOrigin=s&&(!t.hostname||c),"/"===o.pathname&&(i[e]=o),o}},50:(e,t,r)=>{function n(e,t){"function"==typeof console.warn&&(console.warn("New Relic: ".concat(e)),t&&console.warn(t))}r.d(t,{Z:()=>n})},2587:(e,t,r)=>{r.d(t,{N:()=>c,T:()=>u});var n=r(2177),i=r(5546),o=r(8e3),a=r(3325);const s={stn:[a.D.sessionTrace],err:[a.D.jserrors,a.D.metrics],ins:[a.D.pageAction],spa:[a.D.spa],sr:[a.D.sessionReplay,a.D.sessionTrace]};function c(e,t){const r=n.ee.get(t);e&&"object"==typeof e&&(Object.entries(e).forEach((e=>{let[t,n]=e;void 0===u[t]&&(s[t]?s[t].forEach((e=>{n?(0,i.p)("feat-"+t,[],void 0,e,r):(0,i.p)("block-"+t,[],void 0,e,r),(0,i.p)("rumresp-"+t,[Boolean(n)],void 0,e,r)})):n&&(0,i.p)("feat-"+t,[],void 0,void 0,r),u[t]=Boolean(n))})),Object.keys(s).forEach((e=>{void 0===u[e]&&(s[e]?.forEach((t=>(0,i.p)("rumresp-"+e,[!1],void 0,t,r))),u[e]=!1)})),(0,o.L)(t,a.D.pageViewEvent))}const u={}},2210:(e,t,r)=>{r.d(t,{X:()=>i});var n=Object.prototype.hasOwnProperty;function i(e,t,r){if(n.call(e,t))return e[t];var i=r();if(Object.defineProperty&&Object.keys)try{return Object.defineProperty(e,t,{value:i,writable:!0,enumerable:!1}),i}catch(e){}return e[t]=i,i}},1284:(e,t,r)=>{r.d(t,{D:()=>n});const n=(e,t)=>Object.entries(e||{}).map((e=>{let[r,n]=e;return t(r,n)}))},4351:(e,t,r)=>{r.d(t,{P:()=>o});var n=r(2177);const i=()=>{const e=new WeakSet;return(t,r)=>{if("object"==typeof r&&null!==r){if(e.has(r))return;e.add(r)}return r}};function o(e){try{return JSON.stringify(e,i())}catch(e){try{n.ee.emit("internal-error",[e])}catch(e){}}}},3960:(e,t,r)=>{r.d(t,{K:()=>a,b:()=>o});var n=r(3239);function i(){return"undefined"==typeof document||"complete"===document.readyState}function o(e,t){if(i())return e();(0,n.bP)("load",e,t)}function a(e){if(i())return e();(0,n.iz)("DOMContentLoaded",e)}},8632:(e,t,r)=>{r.d(t,{EZ:()=>u,Qy:()=>c,ce:()=>o,fP:()=>a,gG:()=>d,mF:()=>s});var n=r(7894),i=r(385);const o={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net"};function a(){return i._A.NREUM||(i._A.NREUM={}),void 0===i._A.newrelic&&(i._A.newrelic=i._A.NREUM),i._A.NREUM}function s(){let e=a();return e.o||(e.o={ST:i._A.setTimeout,SI:i._A.setImmediate,CT:i._A.clearTimeout,XHR:i._A.XMLHttpRequest,REQ:i._A.Request,EV:i._A.Event,PR:i._A.Promise,MO:i._A.MutationObserver,FETCH:i._A.fetch}),e}function c(e,t,r){let i=a();const o=i.initializedAgents||{},s=o[e]||{};return Object.keys(s).length||(s.initializedAt={ms:(0,n.z)(),date:new Date}),i.initializedAgents={...o,[e]:{...s,[r]:t}},i}function u(e,t){a()[e]=t}function d(){return function(){let e=a();const t=e.info||{};e.info={beacon:o.beacon,errorBeacon:o.errorBeacon,...t}}(),function(){let e=a();const t=e.init||{};e.init={...t}}(),s(),function(){let e=a();const t=e.loader_config||{};e.loader_config={...t}}(),a()}},7956:(e,t,r)=>{r.d(t,{N:()=>i});var n=r(3239);function i(e){let t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2?arguments[2]:void 0,i=arguments.length>3?arguments[3]:void 0;return void(0,n.iz)("visibilitychange",(function(){if(t)return void("hidden"==document.visibilityState&&e());e(document.visibilityState)}),r,i)}},1214:(e,t,r)=>{r.d(t,{em:()=>v,u5:()=>N,QU:()=>S,_L:()=>I,Gm:()=>L,Lg:()=>M,gy:()=>U,BV:()=>Q,Kf:()=>ee});var n=r(2177);const i="nr@original";var o=Object.prototype.hasOwnProperty,a=!1;function s(e,t){return e||(e=n.ee),r.inPlace=function(e,t,n,i,o){n||(n="");var a,s,c,u="-"===n.charAt(0);for(c=0;c 2?n-2:0),o=2;o {r(A[T],e,w),r(E[T],e,w)})),r(l._A,"fetch",y),t.on(y+"end",(function(e,r){var n=this;if(r){var i=r.headers.get("content-length");null!==i&&(n.rxSize=i),t.emit(y+"done",[null,r],n)}else t.emit(y+"done",[e],n)})),t}const O={},j=["pushState","replaceState"];function S(e){const t=function(e){return(e||n.ee).get("history")}(e);return!l.il||O[t.debugId]++||(O[t.debugId]=1,s(t).inPlace(window.history,j,"-")),t}var P=r(3239);const C={},R=["appendChild","insertBefore","replaceChild"];function I(e){const t=function(e){return(e||n.ee).get("jsonp")}(e);if(!l.il||C[t.debugId])return t;C[t.debugId]=!0;var r=s(t),i=/[?&](?:callback|cb)=([^&#]+)/,o=/(.*)\.([^.]+)/,a=/^(\w+)(\.|$)(.*)$/;function c(e,t){var r=e.match(a),n=r[1],i=r[3];return i?c(i,t[n]):t[n]}return r.inPlace(Node.prototype,R,"dom-"),t.on("dom-start",(function(e){!function(e){if(!e||"string"!=typeof e.nodeName||"script"!==e.nodeName.toLowerCase())return;if("function"!=typeof e.addEventListener)return;var n=(a=e.src,s=a.match(i),s?s[1]:null);var a,s;if(!n)return;var u=function(e){var t=e.match(o);if(t&&t.length>=3)return{key:t[2],parent:c(t[1],window)};return{key:e,parent:window}}(n);if("function"!=typeof u.parent[u.key])return;var d={};function f(){t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}function l(){t.emit("jsonp-error",[],d),t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}r.inPlace(u.parent,[u.key],"cb-",d),e.addEventListener("load",f,(0,P.m$)(!1)),e.addEventListener("error",l,(0,P.m$)(!1)),t.emit("new-jsonp",[e.src],d)}(e[0])})),t}var k=r(5763);const H={};function L(e){const t=function(e){return(e||n.ee).get("mutation")}(e);if(!l.il||H[t.debugId])return t;H[t.debugId]=!0;var r=s(t),i=k.Yu.MO;return i&&(window.MutationObserver=function(e){return this instanceof i?new i(r(e,"fn-")):i.apply(this,arguments)},MutationObserver.prototype=i.prototype),t}const z={};function M(e){const t=function(e){return(e||n.ee).get("promise")}(e);if(z[t.debugId])return t;z[t.debugId]=!0;var r=n.c,o=s(t),a=k.Yu.PR;return a&&function(){function e(r){var n=t.context(),i=o(r,"executor-",n,null,!1);const s=Reflect.construct(a,[i],e);return t.context(s).getCtx=function(){return n},s}l._A.Promise=e,Object.defineProperty(e,"name",{value:"Promise"}),e.toString=function(){return a.toString()},Object.setPrototypeOf(e,a),["all","race"].forEach((function(r){const n=a[r];e[r]=function(e){let i=!1;[...e||[]].forEach((e=>{this.resolve(e).then(a("all"===r),a(!1))}));const o=n.apply(this,arguments);return o;function a(e){return function(){t.emit("propagate",[null,!i],o,!1,!1),i=i||!e}}}})),["resolve","reject"].forEach((function(r){const n=a[r];e[r]=function(e){const r=n.apply(this,arguments);return e!==r&&t.emit("propagate",[e,!0],r,!1,!1),r}})),e.prototype=a.prototype;const n=a.prototype.then;a.prototype.then=function(){var e=this,i=r(e);i.promise=e;for(var a=arguments.length,s=new Array(a),c=0;c e())),t};function m(e,t){i.inPlace(t,["onreadystatechange"],"fn-",E)}function b(){var e=this,t=r.context(e);e.readyState>3&&!t.resolved&&(t.resolved=!0,r.emit("xhr-resolved",[],e)),i.inPlace(e,f,"fn-",E)}if(function(e,t){for(var r in e)t[r]=e[r]}(o,p),p.prototype=o.prototype,i.inPlace(p.prototype,J,"-xhr-",E),r.on("send-xhr-start",(function(e,t){m(e,t),function(e){h.push(e),a&&(y?y.then(A):u?u(A):(w=-w,x.data=w))}(t)})),r.on("open-xhr-start",m),a){var y=c&&c.resolve();if(!u&&!c){var w=1,x=document.createTextNode(w);new a(A).observe(x,{characterData:!0})}}else t.on("fn-end",(function(e){e[0]&&e[0].type===d||A()}));function A(){for(var e=0;e {r.d(t,{t:()=>n});const n=r(3325).D.ajax},6660:(e,t,r)=>{r.d(t,{A:()=>i,t:()=>n});const n=r(3325).D.jserrors,i="nr@seenError"},3081:(e,t,r)=>{r.d(t,{gF:()=>o,mY:()=>i,t9:()=>n,vz:()=>s,xS:()=>a});const n=r(3325).D.metrics,i="sm",o="cm",a="storeSupportabilityMetrics",s="storeEventMetrics"},4649:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageAction},7633:(e,t,r)=>{r.d(t,{Dz:()=>i,OJ:()=>a,qw:()=>o,t9:()=>n});const n=r(3325).D.pageViewEvent,i="firstbyte",o="domcontent",a="windowload"},9251:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageViewTiming},3614:(e,t,r)=>{r.d(t,{BST_RESOURCE:()=>i,END:()=>s,FEATURE_NAME:()=>n,FN_END:()=>u,FN_START:()=>c,PUSH_STATE:()=>d,RESOURCE:()=>o,START:()=>a});const n=r(3325).D.sessionTrace,i="bstResource",o="resource",a="-start",s="-end",c="fn"+a,u="fn"+s,d="pushState"},7836:(e,t,r)=>{r.d(t,{BODY:()=>A,CB_END:()=>E,CB_START:()=>u,END:()=>x,FEATURE_NAME:()=>i,FETCH:()=>_,FETCH_BODY:()=>v,FETCH_DONE:()=>m,FETCH_START:()=>p,FN_END:()=>c,FN_START:()=>s,INTERACTION:()=>l,INTERACTION_API:()=>d,INTERACTION_EVENTS:()=>o,JSONP_END:()=>b,JSONP_NODE:()=>g,JS_TIME:()=>T,MAX_TIMER_BUDGET:()=>a,REMAINING:()=>f,SPA_NODE:()=>h,START:()=>w,originalSetTimeout:()=>y});var n=r(5763);const i=r(3325).D.spa,o=["click","submit","keypress","keydown","keyup","change"],a=999,s="fn-start",c="fn-end",u="cb-start",d="api-ixn-",f="remaining",l="interaction",h="spaNode",g="jsonpNode",p="fetch-start",m="fetch-done",v="fetch-body-",b="jsonp-end",y=n.Yu.ST,w="-start",x="-end",A="-body",E="cb"+x,T="jsTime",_="fetch"},5938:(e,t,r)=>{r.d(t,{W:()=>o});var n=r(5763),i=r(2177);class o{constructor(e,t,r){this.agentIdentifier=e,this.aggregator=t,this.ee=i.ee.get(e,(0,n.OP)(this.agentIdentifier).isolatedBacklog),this.featureName=r,this.blocked=!1}}},9144:(e,t,r)=>{r.d(t,{j:()=>m});var n=r(3325),i=r(5763),o=r(5546),a=r(2177),s=r(7894),c=r(8e3),u=r(3960),d=r(385),f=r(50),l=r(3081),h=r(8632);function g(){const e=(0,h.gG)();["setErrorHandler","finished","addToTrace","inlineHit","addRelease","addPageAction","setCurrentRouteName","setPageViewName","setCustomAttribute","interaction","noticeError","setUserId"].forEach((t=>{e[t]=function(){for(var r=arguments.length,n=new Array(r),i=0;i 1?r-1:0),i=1;i {e.exposed&&e.api[t]&&o.push(e.api[t](...n))})),o.length>1?o:o[0]}(t,...n)}}))}var p=r(2587);function m(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},m=arguments.length>2?arguments[2]:void 0,v=arguments.length>3?arguments[3]:void 0,{init:b,info:y,loader_config:w,runtime:x={loaderType:m},exposed:A=!0}=t;const E=(0,h.gG)();y||(b=E.init,y=E.info,w=E.loader_config),(0,i.Dg)(e,b||{}),(0,i.GE)(e,w||{}),(0,i.sU)(e,x),y.jsAttributes??={},d.v6&&(y.jsAttributes.isWorker=!0),(0,i.CX)(e,y),g();const T=function(e,t){t||(0,c.R)(e,"api");const h={};var g=a.ee.get(e),p=g.get("tracer"),m="api-",v=m+"ixn-";function b(t,r,n,o){const a=(0,i.C5)(e);return null===r?delete a.jsAttributes[t]:(0,i.CX)(e,{...a,jsAttributes:{...a.jsAttributes,[t]:r}}),x(m,n,!0,o||null===r?"session":void 0)(t,r)}function y(){}["setErrorHandler","finished","addToTrace","inlineHit","addRelease"].forEach((e=>h[e]=x(m,e,!0,"api"))),h.addPageAction=x(m,"addPageAction",!0,n.D.pageAction),h.setCurrentRouteName=x(m,"routeName",!0,n.D.spa),h.setPageViewName=function(t,r){if("string"==typeof t)return"/"!==t.charAt(0)&&(t="/"+t),(0,i.OP)(e).customTransaction=(r||"http://custom.transaction")+t,x(m,"setPageViewName",!0)()},h.setCustomAttribute=function(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];if("string"==typeof e){if(["string","number"].includes(typeof t)||null===t)return b(e,t,"setCustomAttribute",r);(0,f.Z)("Failed to execute setCustomAttribute.\nNon-null value must be a string or number type, but a type of was provided."))}else(0,f.Z)("Failed to execute setCustomAttribute.\nName must be a string type, but a type of was provided."))},h.setUserId=function(e){if("string"==typeof e||null===e)return b("enduser.id",e,"setUserId",!0);(0,f.Z)("Failed to execute setUserId.\nNon-null value must be a string type, but a type of was provided."))},h.interaction=function(){return(new y).get()};var w=y.prototype={createTracer:function(e,t){var r={},i=this,a="function"==typeof t;return(0,o.p)(v+"tracer",[(0,s.z)(),e,r],i,n.D.spa,g),function(){if(p.emit((a?"":"no-")+"fn-start",[(0,s.z)(),i,a],r),a)try{return t.apply(this,arguments)}catch(e){throw p.emit("fn-err",[arguments,this,"string"==typeof e?new Error(e):e],r),e}finally{p.emit("fn-end",[(0,s.z)()],r)}}}};function x(e,t,r,i){return function(){return(0,o.p)(l.xS,["API/"+t+"/called"],void 0,n.D.metrics,g),i&&(0,o.p)(e+t,[(0,s.z)(),...arguments],r?null:this,i,g),r?void 0:this}}function A(){r.e(439).then(r.bind(r,7438)).then((t=>{let{setAPI:r}=t;r(e),(0,c.L)(e,"api")})).catch((()=>(0,f.Z)("Downloading runtime APIs failed...")))}return["actionText","setName","setAttribute","save","ignore","onEnd","getContext","end","get"].forEach((e=>{w[e]=x(v,e,void 0,n.D.spa)})),h.noticeError=function(e,t){"string"==typeof e&&(e=new Error(e)),(0,o.p)(l.xS,["API/noticeError/called"],void 0,n.D.metrics,g),(0,o.p)("err",[e,(0,s.z)(),!1,t],void 0,n.D.jserrors,g)},d.il?(0,u.b)((()=>A()),!0):A(),h}(e,v);return(0,h.Qy)(e,T,"api"),(0,h.Qy)(e,A,"exposed"),(0,h.EZ)("activatedFeatures",p.T),T}},3325:(e,t,r)=>{r.d(t,{D:()=>n,p:()=>i});const n={ajax:"ajax",jserrors:"jserrors",metrics:"metrics",pageAction:"page_action",pageViewEvent:"page_view_event",pageViewTiming:"page_view_timing",sessionReplay:"session_replay",sessionTrace:"session_trace",spa:"spa"},i={[n.pageViewEvent]:1,[n.pageViewTiming]:2,[n.metrics]:3,[n.jserrors]:4,[n.ajax]:5,[n.sessionTrace]:6,[n.pageAction]:7,[n.spa]:8,[n.sessionReplay]:9}}},n={};function i(e){var t=n[e];if(void 0!==t)return t.exports;var o=n[e]={exports:{}};return r[e](o,o.exports,i),o.exports}i.m=r,i.d=(e,t)=>{for(var r in t)i.o(t,r)&&!i.o(e,r)&&Object.defineProperty(e,r,{enumerable:!0,get:t[r]})},i.f={},i.e=e=>Promise.all(Object.keys(i.f).reduce(((t,r)=>(i.f[r](e,t),t)),[])),i.u=e=>(({78:"page_action-aggregate",147:"metrics-aggregate",242:"session-manager",317:"jserrors-aggregate",348:"page_view_timing-aggregate",412:"lazy-feature-loader",439:"async-api",538:"recorder",590:"session_replay-aggregate",675:"compressor",733:"session_trace-aggregate",786:"page_view_event-aggregate",873:"spa-aggregate",898:"ajax-aggregate"}[e]||e)+"."+{78:"ac76d497",147:"3dc53903",148:"1a20d5fe",242:"2a64278a",317:"49e41428",348:"bd6de33a",412:"2f55ce66",439:"30bd804e",538:"1b18459f",590:"cf0efb30",675:"ae9f91a8",733:"83105561",786:"06482edd",860:"03a8b7a5",873:"e6b09d52",898:"998ef92b"}[e]+"-1.236.0.min.js"),i.o=(e,t)=>Object.prototype.hasOwnProperty.call(e,t),e={},t="NRBA:",i.l=(r,n,o,a)=>{if(e[r])e[r].push(n);else{var s,c;if(void 0!==o)for(var u=document.getElementsByTagName("script"),d=0;d {s.onerror=s.onload=null,clearTimeout(h);var i=e[r];if(delete e[r],s.parentNode&&s.parentNode.removeChild(s),i&&i.forEach((e=>e(n))),t)return t(n)},h=setTimeout(l.bind(null,void 0,{type:"timeout",target:s}),12e4);s.onerror=l.bind(null,s.onerror),s.onload=l.bind(null,s.onload),c&&document.head.appendChild(s)}},i.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},i.j=364,i.p="https://js-agent.newrelic.com/",(()=>{var e={364:0,953:0};i.f.j=(t,r)=>{var n=i.o(e,t)?e[t]:void 0;if(0!==n)if(n)r.push(n[2]);else{var o=new Promise(((r,i)=>n=e[t]=[r,i]));r.push(n[2]=o);var a=i.p+i.u(t),s=new Error;i.l(a,(r=>{if(i.o(e,t)&&(0!==(n=e[t])&&(e[t]=void 0),n)){var o=r&&("load"===r.type?"missing":r.type),a=r&&r.target&&r.target.src;s.message="Loading chunk "+t+" failed.\n("+o+": "+a+")",s.name="ChunkLoadError",s.type=o,s.request=a,n[1](s)}}),"chunk-"+t,t)}};var t=(t,r)=>{var n,o,[a,s,c]=r,u=0;if(a.some((t=>0!==e[t]))){for(n in s)i.o(s,n)&&(i.m[n]=s[n]);if(c)c(i)}for(t&&t(r);u {i.r(o);var e=i(3325),t=i(5763);const r=Object.values(e.D);function n(e){const n={};return r.forEach((r=>{n[r]=function(e,r){return!1!==(0,t.Mt)(r,"".concat(e,".enabled"))}(r,e)})),n}var a=i(9144);var s=i(5546),c=i(385),u=i(8e3),d=i(5938),f=i(3960),l=i(50);class h extends d.W{constructor(e,t,r){let n=!(arguments.length>3&&void 0!==arguments[3])||arguments[3];super(e,t,r),this.auto=n,this.abortHandler,this.featAggregate,this.onAggregateImported,n&&(0,u.R)(e,r)}importAggregator(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};if(this.featAggregate||!this.auto)return;const r=c.il&&!0===(0,t.Mt)(this.agentIdentifier,"privacy.cookies_enabled");let n;this.onAggregateImported=new Promise((e=>{n=e}));const o=async()=>{let t;try{if(r){const{setupAgentSession:e}=await Promise.all([i.e(860),i.e(242)]).then(i.bind(i,3228));t=e(this.agentIdentifier)}}catch(e){(0,l.Z)("A problem occurred when starting up session manager. This page will not start or extend any session.",e)}try{if(!this.shouldImportAgg(this.featureName,t))return void(0,u.L)(this.agentIdentifier,this.featureName);const{lazyFeatureLoader:r}=await i.e(412).then(i.bind(i,8582)),{Aggregate:o}=await r(this.featureName,"aggregate");this.featAggregate=new o(this.agentIdentifier,this.aggregator,e),n(!0)}catch(e){(0,l.Z)("Downloading and initializing ".concat(this.featureName," failed..."),e),this.abortHandler?.(),n(!1)}};c.il?(0,f.b)((()=>o()),!0):o()}shouldImportAgg(r,n){return r!==e.D.sessionReplay||!1!==(0,t.Mt)(this.agentIdentifier,"session_trace.enabled")&&(!!n?.isNew||!!n?.state.sessionReplay)}}var g=i(7633),p=i(7894);class m extends h{static featureName=g.t9;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(super(r,n,g.t9,i),("undefined"==typeof PerformanceNavigationTiming||c.Tt)&&"undefined"!=typeof PerformanceTiming){const n=(0,t.OP)(r);n[g.Dz]=Math.max(Date.now()-n.offset,0),(0,f.K)((()=>n[g.qw]=Math.max((0,p.z)()-n[g.Dz],0))),(0,f.b)((()=>{const t=(0,p.z)();n[g.OJ]=Math.max(t-n[g.Dz],0),(0,s.p)("timing",["load",t],void 0,e.D.pageViewTiming,this.ee)}))}this.importAggregator()}}var v=i(1117),b=i(1284);class y extends v.w{constructor(e){super(e),this.aggregatedData={}}store(e,t,r,n,i){var o=this.getBucket(e,t,r,i);return o.metrics=function(e,t){t||(t={count:0});return t.count+=1,(0,b.D)(e,(function(e,r){t[e]=w(r,t[e])})),t}(n,o.metrics),o}merge(e,t,r,n,i){var o=this.getBucket(e,t,n,i);if(o.metrics){var a=o.metrics;a.count+=r.count,(0,b.D)(r,(function(e,t){if("count"!==e){var n=a[e],i=r[e];i&&!i.c?a[e]=w(i.t,n):a[e]=function(e,t){if(!t)return e;t.c||(t=x(t.t));return t.min=Math.min(e.min,t.min),t.max=Math.max(e.max,t.max),t.t+=e.t,t.sos+=e.sos,t.c+=e.c,t}(i,a[e])}}))}else o.metrics=r}storeMetric(e,t,r,n){var i=this.getBucket(e,t,r);return i.stats=w(n,i.stats),i}getBucket(e,t,r,n){this.aggregatedData[e]||(this.aggregatedData[e]={});var i=this.aggregatedData[e][t];return i||(i=this.aggregatedData[e][t]={params:r||{}},n&&(i.custom=n)),i}get(e,t){return t?this.aggregatedData[e]&&this.aggregatedData[e][t]:this.aggregatedData[e]}take(e){for(var t={},r="",n=!1,i=0;i t.max&&(t.max=e),e 2&&void 0!==arguments[2])||arguments[2];super(e,r,j.t,n),c.il&&((0,t.OP)(e).initHidden=Boolean("hidden"===document.visibilityState),(0,N.N)((()=>(0,s.p)("docHidden",[(0,p.z)()],void 0,j.t,this.ee)),!0),(0,O.bP)("pagehide",(()=>(0,s.p)("winPagehide",[(0,p.z)()],void 0,j.t,this.ee))),this.importAggregator())}}var P=i(3081);class C extends h{static featureName=P.t9;constructor(e,t){let r=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(e,t,P.t9,r),this.importAggregator()}}var R,I=i(2210),k=i(1214),H=i(2177),L={};try{R=localStorage.getItem("__nr_flags").split(","),console&&"function"==typeof console.log&&(L.console=!0,-1!==R.indexOf("dev")&&(L.dev=!0),-1!==R.indexOf("nr_dev")&&(L.nrDev=!0))}catch(e){}function z(e){try{L.console&&z(e)}catch(e){}}L.nrDev&&H.ee.on("internal-error",(function(e){z(e.stack)})),L.dev&&H.ee.on("fn-err",(function(e,t,r){z(r.stack)})),L.dev&&(z("NR AGENT IN DEVELOPMENT MODE"),z("flags: "+(0,b.D)(L,(function(e,t){return e})).join(", ")));var M=i(6660);class B extends h{static featureName=M.t;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(r,n,M.t,i),this.skipNext=0;try{this.removeOnAbort=new AbortController}catch(e){}const o=this;o.ee.on("fn-start",(function(e,t,r){o.abortHandler&&(o.skipNext+=1)})),o.ee.on("fn-err",(function(t,r,n){o.abortHandler&&!n[M.A]&&((0,I.X)(n,M.A,(function(){return!0})),this.thrown=!0,(0,s.p)("err",[n,(0,p.z)()],void 0,e.D.jserrors,o.ee))})),o.ee.on("fn-end",(function(){o.abortHandler&&!this.thrown&&o.skipNext>0&&(o.skipNext-=1)})),o.ee.on("internal-error",(function(t){(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,o.ee)})),this.origOnerror=c._A.onerror,c._A.onerror=this.onerrorHandler.bind(this),c._A.addEventListener("unhandledrejection",(t=>{const r=function(e){let t="Unhandled Promise Rejection: ";if(e instanceof Error)try{return e.message=t+e.message,e}catch(t){return e}if(void 0===e)return new Error(t);try{return new Error(t+(0,D.P)(e))}catch(e){return new Error(t)}}(t.reason);(0,s.p)("err",[r,(0,p.z)(),!1,{unhandledPromiseRejection:1}],void 0,e.D.jserrors,this.ee)}),(0,O.m$)(!1,this.removeOnAbort?.signal)),(0,k.gy)(this.ee),(0,k.BV)(this.ee),(0,k.em)(this.ee),(0,t.OP)(r).xhrWrappable&&(0,k.Kf)(this.ee),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}onerrorHandler(t,r,n,i,o){"function"==typeof this.origOnerror&&this.origOnerror(...arguments);try{this.skipNext?this.skipNext-=1:(0,s.p)("err",[o||new F(t,r,n),(0,p.z)()],void 0,e.D.jserrors,this.ee)}catch(t){try{(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,this.ee)}catch(e){}}return!1}}function F(e,t,r){this.message=e||"Uncaught error with no additional information",this.sourceURL=t,this.line=r}let U=1;const q="nr@id";function G(e){const t=typeof e;return!e||"object"!==t&&"function"!==t?-1:e===c._A?0:(0,I.X)(e,q,(function(){return U++}))}function V(e){if("string"==typeof e&&e.length)return e.length;if("object"==typeof e){if("undefined"!=typeof ArrayBuffer&&e instanceof ArrayBuffer&&e.byteLength)return e.byteLength;if("undefined"!=typeof Blob&&e instanceof Blob&&e.size)return e.size;if(!("undefined"!=typeof FormData&&e instanceof FormData))try{return(0,D.P)(e).length}catch(e){return}}}var X=i(7243);class W{constructor(e){this.agentIdentifier=e,this.generateTracePayload=this.generateTracePayload.bind(this),this.shouldGenerateTrace=this.shouldGenerateTrace.bind(this)}generateTracePayload(e){if(!this.shouldGenerateTrace(e))return null;var r=(0,t.DL)(this.agentIdentifier);if(!r)return null;var n=(r.accountID||"").toString()||null,i=(r.agentID||"").toString()||null,o=(r.trustKey||"").toString()||null;if(!n||!i)return null;var a=(0,_.M)(),s=(0,_.Ht)(),c=Date.now(),u={spanId:a,traceId:s,timestamp:c};return(e.sameOrigin||this.isAllowedOrigin(e)&&this.useTraceContextHeadersForCors())&&(u.traceContextParentHeader=this.generateTraceContextParentHeader(a,s),u.traceContextStateHeader=this.generateTraceContextStateHeader(a,c,n,i,o)),(e.sameOrigin&&!this.excludeNewrelicHeader()||!e.sameOrigin&&this.isAllowedOrigin(e)&&this.useNewrelicHeaderForCors())&&(u.newrelicHeader=this.generateTraceHeader(a,s,c,n,i,o)),u}generateTraceContextParentHeader(e,t){return"00-"+t+"-"+e+"-01"}generateTraceContextStateHeader(e,t,r,n,i){return i+"@nr=0-1-"+r+"-"+n+"-"+e+"----"+t}generateTraceHeader(e,t,r,n,i,o){if(!("function"==typeof c._A?.btoa))return null;var a={v:[0,1],d:{ty:"Browser",ac:n,ap:i,id:e,tr:t,ti:r}};return o&&n!==o&&(a.d.tk=o),btoa((0,D.P)(a))}shouldGenerateTrace(e){return this.isDtEnabled()&&this.isAllowedOrigin(e)}isAllowedOrigin(e){var r=!1,n={};if((0,t.Mt)(this.agentIdentifier,"distributed_tracing")&&(n=(0,t.P_)(this.agentIdentifier).distributed_tracing),e.sameOrigin)r=!0;else if(n.allowed_origins instanceof Array)for(var i=0;i 2&&void 0!==arguments[2])||arguments[2];super(r,n,Z.t,i),(0,t.OP)(r).xhrWrappable&&(this.dt=new W(r),this.handler=(e,t,r,n)=>(0,s.p)(e,t,r,n,this.ee),(0,k.u5)(this.ee),(0,k.Kf)(this.ee),function(r,n,i,o){function a(e){var t=this;t.totalCbs=0,t.called=0,t.cbTime=0,t.end=E,t.ended=!1,t.xhrGuids={},t.lastSize=null,t.loadCaptureCalled=!1,t.params=this.params||{},t.metrics=this.metrics||{},e.addEventListener("load",(function(r){_(t,e)}),(0,O.m$)(!1)),c.IF||e.addEventListener("progress",(function(e){t.lastSize=e.loaded}),(0,O.m$)(!1))}function s(e){this.params={method:e[0]},T(this,e[1]),this.metrics={}}function u(e,n){var i=(0,t.DL)(r);i.xpid&&this.sameOrigin&&n.setRequestHeader("X-NewRelic-ID",i.xpid);var a=o.generateTracePayload(this.parsedOrigin);if(a){var s=!1;a.newrelicHeader&&(n.setRequestHeader("newrelic",a.newrelicHeader),s=!0),a.traceContextParentHeader&&(n.setRequestHeader("traceparent",a.traceContextParentHeader),a.traceContextStateHeader&&n.setRequestHeader("tracestate",a.traceContextStateHeader),s=!0),s&&(this.dt=a)}}function d(e,t){var r=this.metrics,i=e[0],o=this;if(r&&i){var a=V(i);a&&(r.txSize=a)}this.startTime=(0,p.z)(),this.listener=function(e){try{"abort"!==e.type||o.loadCaptureCalled||(o.params.aborted=!0),("load"!==e.type||o.called===o.totalCbs&&(o.onloadCalled||"function"!=typeof t.onload)&&"function"==typeof o.end)&&o.end(t)}catch(e){try{n.emit("internal-error",[e])}catch(e){}}};for(var s=0;s 1?e[1]=i:e.push(i)}else e[0]&&e[0].headers&&s(e[0].headers,n)&&(this.dt=n);function s(e,t){var r=!1;return t.newrelicHeader&&(e.set("newrelic",t.newrelicHeader),r=!0),t.traceContextParentHeader&&(e.set("traceparent",t.traceContextParentHeader),t.traceContextStateHeader&&e.set("tracestate",t.traceContextStateHeader),r=!0),r}}function x(e,t){this.params={},this.metrics={},this.startTime=(0,p.z)(),this.dt=t,e.length>=1&&(this.target=e[0]),e.length>=2&&(this.opts=e[1]);var r,n=this.opts||{},i=this.target;"string"==typeof i?r=i:"object"==typeof i&&i instanceof Y?r=i.url:c._A?.URL&&"object"==typeof i&&i instanceof URL&&(r=i.href),T(this,r);var o=(""+(i&&i instanceof Y&&i.method||n.method||"GET")).toUpperCase();this.params.method=o,this.txSize=V(n.body)||0}function A(t,r){var n;this.endTime=(0,p.z)(),this.params||(this.params={}),this.params.status=r?r.status:0,"string"==typeof this.rxSize&&this.rxSize.length>0&&(n=+this.rxSize);var o={txSize:this.txSize,rxSize:n,duration:(0,p.z)()-this.startTime};i("xhr",[this.params,o,this.startTime,this.endTime,"fetch"],this,e.D.ajax)}function E(t){var r=this.params,n=this.metrics;if(!this.ended){this.ended=!0;for(var o=0;o 2&&void 0!==arguments[2])||arguments[2];super(e,t,we.t,r),this.importAggregator()}}new class{constructor(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:(0,_.ky)(16);c._A?(this.agentIdentifier=t,this.sharedAggregator=new y({agentIdentifier:this.agentIdentifier}),this.features={},this.desiredFeatures=new Set(e.features||[]),this.desiredFeatures.add(m),Object.assign(this,(0,a.j)(this.agentIdentifier,e,e.loaderType||"agent")),this.start()):(0,l.Z)("Failed to initial the agent. Could not determine the runtime environment.")}get config(){return{info:(0,t.C5)(this.agentIdentifier),init:(0,t.P_)(this.agentIdentifier),loader_config:(0,t.DL)(this.agentIdentifier),runtime:(0,t.OP)(this.agentIdentifier)}}start(){const t="features";try{const r=n(this.agentIdentifier),i=[...this.desiredFeatures];i.sort(((t,r)=>e.p[t.featureName]-e.p[r.featureName])),i.forEach((t=>{if(r[t.featureName]||t.featureName===e.D.pageViewEvent){const n=function(t){switch(t){case e.D.ajax:return[e.D.jserrors];case e.D.sessionTrace:return[e.D.ajax,e.D.pageViewEvent];case e.D.sessionReplay:return[e.D.sessionTrace];case e.D.pageViewTiming:return[e.D.pageViewEvent];default:return[]}}(t.featureName);n.every((e=>r[e]))||(0,l.Z)("".concat(t.featureName," is enabled but one or more dependent features has been disabled (").concat((0,D.P)(n),"). This may cause unintended consequences or missing data...")),this.features[t.featureName]=new t(this.agentIdentifier,this.sharedAggregator)}})),(0,T.Qy)(this.agentIdentifier,this.features,t)}catch(e){(0,l.Z)("Failed to initialize all enabled instrument classes (agent aborted) -",e);for(const e in this.features)this.features[e].abortHandler?.();const r=(0,T.fP)();return delete r.initializedAgents[this.agentIdentifier]?.api,delete r.initializedAgents[this.agentIdentifier]?.[t],delete this.sharedAggregator,r.ee?.abort(),delete r.ee?.get(this.agentIdentifier),!1}}}({features:[J,m,S,class extends h{static featureName=oe;constructor(t,r){if(super(t,r,oe,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;const n=this.ee;let i;(0,k.QU)(n),this.eventsEE=(0,k.em)(n),this.eventsEE.on(se,(function(e,t){this.bstStart=(0,p.z)()})),this.eventsEE.on(ae,(function(t,r){(0,s.p)("bst",[t[0],r,this.bstStart,(0,p.z)()],void 0,e.D.sessionTrace,n)})),n.on(ce+ne,(function(e){this.time=(0,p.z)(),this.startPath=location.pathname+location.hash})),n.on(ce+ie,(function(t){(0,s.p)("bstHist",[location.pathname+location.hash,this.startPath,this.time],void 0,e.D.sessionTrace,n)}));try{i=new PerformanceObserver((t=>{const r=t.getEntries();(0,s.p)(te,[r],void 0,e.D.sessionTrace,n)})),i.observe({type:re,buffered:!0})}catch(e){}this.importAggregator({resourceObserver:i})}},C,xe,B,class extends h{static featureName=de;constructor(e,r){if(super(e,r,de,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;if(!(0,t.OP)(e).xhrWrappable)return;try{this.removeOnAbort=new AbortController}catch(e){}let n,i=0;const o=this.ee.get("tracer"),a=(0,k._L)(this.ee),s=(0,k.Lg)(this.ee),u=(0,k.BV)(this.ee),d=(0,k.Kf)(this.ee),f=this.ee.get("events"),l=(0,k.u5)(this.ee),h=(0,k.QU)(this.ee),g=(0,k.Gm)(this.ee);function m(e,t){h.emit("newURL",[""+window.location,t])}function v(){i++,n=window.location.hash,this[ve]=(0,p.z)()}function b(){i--,window.location.hash!==n&&m(0,!0);var e=(0,p.z)();this[pe]=~~this[pe]+e-this[ve],this[ye]=e}function y(e,t){e.on(t,(function(){this[t]=(0,p.z)()}))}this.ee.on(ve,v),s.on(be,v),a.on(be,v),this.ee.on(ye,b),s.on(ge,b),a.on(ge,b),this.ee.buffer([ve,ye,"xhr-resolved"],this.featureName),f.buffer([ve],this.featureName),u.buffer(["setTimeout"+le,"clearTimeout"+fe,ve],this.featureName),d.buffer([ve,"new-xhr","send-xhr"+fe],this.featureName),l.buffer([me+fe,me+"-done",me+he+fe,me+he+le],this.featureName),h.buffer(["newURL"],this.featureName),g.buffer([ve],this.featureName),s.buffer(["propagate",be,ge,"executor-err","resolve"+fe],this.featureName),o.buffer([ve,"no-"+ve],this.featureName),a.buffer(["new-jsonp","cb-start","jsonp-error","jsonp-end"],this.featureName),y(l,me+fe),y(l,me+"-done"),y(a,"new-jsonp"),y(a,"jsonp-end"),y(a,"cb-start"),h.on("pushState-end",m),h.on("replaceState-end",m),window.addEventListener("hashchange",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("load",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("popstate",(function(){m(0,i>1)}),(0,O.m$)(!0,this.removeOnAbort?.signal)),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}}],loaderType:"spa"})})(),window.NRBA=o})(); window.jQuery || document.write(' ') CKEDITOR_BASEPATH='https://f1000research.com/js/vendor/ckeditor/' window.reactTheme = 'research'; window.MathJax = { CommonHTML: { linebreaks: { automatic: true } }, 'HTML-CSS': { linebreaks: { automatic: true } }, SVG: { linebreaks: { automatic: true } }, AuthorInit: function() { MathJax.Hub.Register.MessageHook('End Process', function () { let timeout = false; // holder for timeout id const delay = 250; // delay after event is "complete" to run callback const reflowMath = function() { const dispFormulas = document.querySelectorAll('.disp-formula.panel'); if (!dispFormulas) { return; } for (const dispFormula of dispFormulas) { const child = dispFormula.querySelector('.MathJax_Preview').nextSibling.firstChild; const isMultiline = MathJax.Hub.getAllJax(dispFormula)[0].root.isMultiline; if (dispFormula.offsetWidth < child.offsetWidth || isMultiline) { MathJax.Hub.Queue(['Rerender', MathJax.Hub, dispFormula]); } } }; window.addEventListener('resize', function() { clearTimeout(timeout); // clear the timeout timeout = setTimeout(reflowMath, delay); // start timing for event "completion" }); }); }, }; if (window.location.hash == '#_=_'){ window.location = window.location.href.split('#')[0] } !function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function() {n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)} ;if(!f._fbq)f._fbq=n; n.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window, document,'script','https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '1641728616063202'); fbq('track', "PixelInitialized", {}); (function(h,o,t,j,a,r){ h.hj=h.hj||function(){(h.hj.q=h.hj.q||[]).push(arguments)}; h._hjSettings={hjid:2318163,hjsv:6}; a=o.getElementsByTagName('head')[0]; r=o.createElement('script');r.async=1; r.src=t+h._hjSettings.hjid+j+h._hjSettings.hjsv; a.appendChild(r); })(window,document,'https://static.hotjar.com/c/hotjar-','.js?sv='); search file_upload Submit your research search menu close search Browse Gateways & Collections How to Publish Submit your Research My Submissions Article Guidelines Article Guidelines (New Versions) Open Data, Software and Code Guidelines Open Data and Accessible Source Materials Guidelines (HSS) Open Data, Software and Code Guidelines (PSE) Prepublication Checks Production Process Posters and Slides Guidelines Document Guidelines Article Processing Charges Peer Review Finding Article Reviewers About How it Works For Reviewers Our Advisors Policies Glossary FAQs For Developers Newsroom Contact My Research Submissions Content and Tracking Alerts My Details Sign In file_upload Submit your research { "@context": "https://schema.org", "@type": "ScholarlyArticle", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://f1000research.com/articles/14-873" }, "headline": "A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research", "datePublished": "2025-09-04T16:05:46", "dateModified": "2026-03-31T09:39:46", "author": [ { "@type": "Person", "name": "Kanjanee Phanphairoj" }, { "@type": "Person", "name": "Sutthisan Chumwichan" }, { "@type": "Person", "name": "Ratsiri Thato" }, { "@type": "Person", "name": "Dneya Udtaisuk" }, { "@type": "Person", "name": "Debby Syahru Romadlon" }, { "@type": "Person", "name": "Faizul Hasan" } ], "publisher": { "@type": "Organization", "name": "F1000Research", "logo": { "@type": "ImageObject", "url": "https://f1000research.com/img/AMP/F1000Research_image.png", "height": 480, "width": 60 } }, "image": { "@type": "ImageObject", "url": "https://f1000research.com/img/AMP/F1000Research_image.png", "height": 1200, "width": 150 }, "description": " Background The relationship between music and well-being has gained significant scholarly interest due to its implications for mental health, rehabilitation, and quality of life. Despite growing research, a large-scale bibliometric analysis capturing global trends, key contributors, and emerging themes in this interdisciplinary field remains unexplored. This study addresses this gap by systematically mapping the scientific landscape of music and well-being research over time, identifying dominant themes, and highlighting areas requiring further investigation. Methods We conducted a bibliometric review of 16,585 peer-reviewed articles indexed in Scopus, spanning multiple disciplines, including psychology, medicine, and neuroscience. Using advanced computational methods—co-occurrence network analysis and Louvain clustering—we identified major research clusters and analyzed publication trends, geographic contributions, and evolving topics. Results Five key thematic clusters emerged: (1) Well-being and Spiritual Growth, (2) Music Therapy for Anxiety and Pain, (3) Emotion and Cognition, (4) Rehabilitation in Older Adults, and (5) Hearing Health in Youth. Publication output increased sharply after 2018, with Music Therapy for Anxiety and Pain (Cluster 2) representing the largest share of research. The United States and European countries were the most prolific contributors, whereas regions with rich musical traditions, such as Africa and South Asia, were underrepresented. Emerging trends included neuroscientific explorations of music’s effects and digital therapeutic innovations (e.g., AI-driven music interventions). However, challenges in clinical implementation persist, including limited healthcare integration and insufficient training for practitioners, particularly nurses, who play a vital role in therapy delivery. Conclusions This study offers a comprehensive foundation for advancing research on music and well-being, emphasizing the need for cross-cultural studies, deeper mechanistic insights, and ethical frameworks for digital applications. Future work should prioritize translating research into practice, ensuring equitable global representation, and addressing implementation barriers in healthcare settings. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://f1000research.com/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://f1000research.com/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://f1000research.com/articles/14-873/v1", "name": "A Bibliometric Analysis of Music's Role in Promoting Well-Being in..." } } ] } Home Browse A Bibliometric Analysis of Music's Role in Promoting Well-Being in... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Phanphairoj K, Chumwichan S, Thato R et al. A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.12688/f1000research.168772.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Research Article A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] Kanjanee Phanphairoj https://orcid.org/0000-0003-4419-1809 1,2 , Sutthisan Chumwichan https://orcid.org/0000-0002-4545-3308 2,3 , Ratsiri Thato 1 , Dneya Udtaisuk 2,4 , Debby Syahru Romadlon 1,2 , Faizul Hasan https://orcid.org/0000-0001-7802-1328 1,2 Kanjanee Phanphairoj https://orcid.org/0000-0003-4419-1809 1,2 , Sutthisan Chumwichan https://orcid.org/0000-0002-4545-3308 2,3 , [...] Ratsiri Thato 1 , Dneya Udtaisuk 2,4 , Debby Syahru Romadlon 1,2 , Faizul Hasan https://orcid.org/0000-0001-7802-1328 1,2 PUBLISHED 04 Sep 2025 Author details Author details 1 Faculty of Nursing, Chulalongkorn University, Bangkok, Bangkok, Thailand 2 Multidisciplinary approaches to improve holistic well-being for all ages: Harmonizing nursing science and music Research Group, Chulalongkorn University, Bangkok, Bangkok, Thailand 3 Invited Researcher, Faculty of Education, Chulalongkorn University, Bangkok, Bangkok, Thailand 4 Faculty of Education, Chulalongkorn University, Bangkok, Bangkok, Thailand Kanjanee Phanphairoj Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Sutthisan Chumwichan Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Ratsiri Thato Roles: Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing Dneya Udtaisuk Roles: Conceptualization, Data Curation, Resources, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Debby Syahru Romadlon Roles: Conceptualization, Data Curation, Methodology, Resources, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Faizul Hasan Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing OPEN PEER REVIEW DETAILS REVIEWER STATUS This article is included in the Social Psychology gateway. Abstract Background The relationship between music and well-being has gained significant scholarly interest due to its implications for mental health, rehabilitation, and quality of life. Despite growing research, a large-scale bibliometric analysis capturing global trends, key contributors, and emerging themes in this interdisciplinary field remains unexplored. This study addresses this gap by systematically mapping the scientific landscape of music and well-being research over time, identifying dominant themes, and highlighting areas requiring further investigation. Methods We conducted a bibliometric review of 16,585 peer-reviewed articles indexed in Scopus, spanning multiple disciplines, including psychology, medicine, and neuroscience. Using advanced computational methods—co-occurrence network analysis and Louvain clustering—we identified major research clusters and analyzed publication trends, geographic contributions, and evolving topics. Results Five key thematic clusters emerged: (1) Well-being and Spiritual Growth, (2) Music Therapy for Anxiety and Pain, (3) Emotion and Cognition, (4) Rehabilitation in Older Adults, and (5) Hearing Health in Youth. Publication output increased sharply after 2018, with Music Therapy for Anxiety and Pain (Cluster 2) representing the largest share of research. The United States and European countries were the most prolific contributors, whereas regions with rich musical traditions, such as Africa and South Asia, were underrepresented. Emerging trends included neuroscientific explorations of music’s effects and digital therapeutic innovations (e.g., AI-driven music interventions). However, challenges in clinical implementation persist, including limited healthcare integration and insufficient training for practitioners, particularly nurses, who play a vital role in therapy delivery. Conclusions This study offers a comprehensive foundation for advancing research on music and well-being, emphasizing the need for cross-cultural studies, deeper mechanistic insights, and ethical frameworks for digital applications. Future work should prioritize translating research into practice, ensuring equitable global representation, and addressing implementation barriers in healthcare settings. READ ALL READ LESS Keywords music therapy, mental health promotion, neuroscience of music, healthy aging rehabilitation, and auditory health prevention. Corresponding Author(s) Debby Syahru Romadlon ( [email protected] ) Faizul Hasan ( [email protected] ) Close Corresponding authors: Debby Syahru Romadlon, Faizul Hasan Competing interests: No competing interests were disclosed. Grant information: The author(s) declared that no grants were involved in supporting this work. Copyright: © 2025 Phanphairoj K et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Phanphairoj K, Chumwichan S, Thato R et al. A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.12688/f1000research.168772.1 ) First published: 04 Sep 2025, 14 :873 ( https://doi.org/10.12688/f1000research.168772.1 ) Latest published: 31 Mar 2026, 14 :873 ( https://doi.org/10.12688/f1000research.168772.2 )  There is a newer version of this article available. Suppress this message for one day. 1. Introduction Music is a universal human experience that engages fundamental emotional and cognitive processes. 1 Historically recognized as both an art form and therapeutic tool, music exerts profound psychological and physiological effects, 2 , 3 The music-wellbeing relationship has attracted growing interdisciplinary research attention across psychology, neuroscience, public health, and music therapy, 4 , 5 Robust evidence demonstrates music’s capacity to enhance mood, reduce stress, improve cognition, strengthen social bonds, and complement mental and physical health interventions, 6 , 7 Research on music and well-being has grown increasingly complex and multidisciplinary as scientific interest expands. 8 Studies of music therapy now encompass diverse settings including hospital wards, rehabilitation centers, classrooms, and community spaces 8 , 9 Contemporary evidence positions music not as a passive pastime, but as an active modulator of health and emotional states. 10 Despite extensive research, the field lacks an integrated framework to elucidate its intellectual progression, key contributors, and thematic evolution. Bibliometric analysis offers a robust quantitative framework for evaluating complex research landscapes. 11 By examining citation networks, publication patterns, and keyword co-occurrence, this method maps knowledge evolution while identifying pivotal studies and emerging frontiers. 12 Unlike traditional reviews, bibliometric synthesis creates conceptual integration that reveals an academic discipline’s structural development. 13 This study conducted a comprehensive bibliometric analysis of global research exploring the music-wellbeing relationship. Our analysis maps scientific developments while identifying: (1) key contributors and institutions, (2) dominant thematic clusters, and (3) emerging research trajectories in this interdisciplinary field. 2. Methodology 2.1 Data collection This study followed the PRISMA 2020 framework 14 to ensure transparent data collection and screening processes ( Figure 1 ). We retrieved bibliographic records from Scopus, selected for its robust coverage of both music-related research and health sciences literature. On 21 February 2025, we developed a comprehensive search strategy targeting titles, abstracts, and keywords related to various well-being constructs. Our search methodology employed an iterative approach: first identifying root terms (e.g., “music,” “wellbeing”) and their frequently co-occurring keywords through preliminary analysis, then manually screening these terms to establish our final keyword set. The search was limited to English-language journal articles with no publication date restrictions and was last updated on 22 May 2025 (Appendix A). From an initial pool of 22,358 records, we included 16,585 publications for bibliometric analysis and selected 30 key articles for systematic review. Figure 1. PRISMA flow diagram and methods (Adapted from Dzhunushalieva & Teuber, 2024 and Page et al., 2021). † Number of literature reviewed ( n review ) was determined based on the balance of cosine similarities, piecewise regression by era, citation metrics, and thematic alignment of keywords. 2.2 Data cleaning We implemented a structured data cleaning pipeline using Python 3.13.3 to standardize terminology and improve keyword consistency. Our processing workflow incorporated pandas 15 for data manipulation and regular expressions for text normalization, supplemented by NLTK 16 for lemmatization. To address terminological variations, we developed a custom synonym dictionary that consolidated equivalent terms (e.g., mapping “covid” and “coronavirus” to “covid-19”). The research team manually reviewed and corrected lemmatization artifacts (e.g., converting “social medium” to “social media”). Final keyword selection prioritized the most frequently occurring representative term from each conceptual group. 2.3 Analysis and virtualization We conducted descriptive analyses using R version 4.4.3 with the bibliometrix package. 17 The dataset was transformed into a bibliographic dataframe to examine key metrics including publication volume, document age, citation rates, and author productivity across tourism, marketing, and business management domains. Temporal publication trends were analyzed using Piecewise Linear Regression to identify inflection points in research output. For comparative visualization, we employed Python to generate figures illustrating both national-level productivity and international collaboration networks, enabling cross-field comparisons. The clustering analysis employed a two-phase methodology. First, we constructed a keyword co-occurrence network using VOSviewer 1.6.20, 18 with nodes representing keywords and edges reflecting co-occurrence strength. We implemented Louvain clustering 19 – 21 rather than the default method to better identify modular communities. The algorithm was executed 100 times with varying random seeds (1-100), with manual selection of the optimal solution based on alignment with expected thematic structures. In the second phase, we mapped articles to clusters using cosine similarity between article keyword vectors and cluster profiles. This approach, which considers both keyword composition and directional relationships, 11 , 22 provided more accurate thematic alignment than frequency-based methods by capturing deeper semantic connections while avoiding overrepresentation of generic terms. The cluster interpretation process combined quantitative bibliometric mapping with qualitative analysis through a structured three-phase approach. Following the scanning, sensing, and substantiating framework, 23 we first identified preliminary themes by examining high-frequency keywords and article titles. Next, we analyzed representative abstracts and author keywords to discern conceptual relationships. Finally, we triangulated these findings with citation metrics, temporal trends, and disciplinary discourse to validate themes. Cluster labels emerged inductively through synthesis of dominant keywords, metadata patterns, and content analysis of representative publications. To enhance rigor, we incorporated an iterative reflection process using ChatGPT-4, which improved thematic clarity and visual coherence while maintaining human oversight. This approach aligns with: (1) contemporary bibliometric practices emphasizing quantitative-qualitative integration, 22 , 24 ; (2) emerging LLM-assisted methodologies for complex data analysis 19 ; and (3) transdisciplinary bibliometric principles that facilitate cross-domain interpretation. 25 3. Results 3.1 Descriptive Our temporal analysis using Piecewise Linear Regression identified four distinct research eras demarcated by inflection points at 1982.7, 2002.5, and 2017.5. The earliest period (Era1: 1898–1982) showed gradual growth with 0.31 publications/year, followed by accelerated output during Era2 (1983–2002; 8.03 publications/year). The field entered rapid expansion in Era3 (2003–2017; 50.46 publications/year), culminating in exponential growth in Era4 (2018–2024; 174.86 publications/year), as evidenced by the model’s exceptional fit (R 2 = .9962). Publication volume surged from 361 documents in Era1 to 11,681 in Era4 ( Table 1 , Figure 3 ), paralleled by expansions in journal diversity, authorship networks, and keyword variety. While citation impact peaked in Era2 (37.93 citations/doc) and Era3 (37.18), Era4 showed reduced but still active engagement (9.92 citations/doc; 1.911 citations/year/doc). The field demonstrated progressive globalization through rising co-authorship (mean authors/doc: 1.2→4.6) and international collaboration (12%→43% of publications), reflecting its maturation into an interdisciplinary research domain. Table 1. Bibliometric summary by era. Timespan Era1 Era2 Era3 Era4 Sources (Journals) 220 965 3096 3817 Documents 361 1,902 8,317 11,681 Annual Growth Rate % 4.26 11.20 10.19 2.20 † Document Average Age 56.10 29.70 13.30 3.27 † Average citations per doc 15.90 37.93 37.18 9.919 † Average citations per year per doc 0.28 1.33 2.63 1.911 † References 2,181 38,826 295,236 520,434 DOCUMENT TYPES Article 360 1746 7008 10174 Review 1 156 1309 1507 DOCUMENT CONTENTS Keywords Plus (ID) 1,110 4,770 16,428 21,198 Author’s Keywords (DE) 219 1,420 13,486 22,210 AUTHORS Authors 543 3,464 20,804 35,561 Author Appearances 589 3,928 26,796 49,308 Authors of single-authored docs 198 848 1,954 1,695 AUTHORS COLLABORATION Single-authored docs 211 931 2,199 1,926 Documents per Author .67 .55 .40 .328 Co-Authors per Doc 1.63 2.07 3.22 4.22 International co-authorships % 1.39 5.99 17.82 23.62 † As of 2024: Annual Growth Rate = 12.24%, Document Average Age = 3.55, Average Citations per Document = 10.72, Average Citations per Year per Document = 2.051. Figure 2. Global distribution of publications by corresponding author and collaboration type. Note. Bar chart and world map show the number of publications per country based on corresponding author counts. Figure 3. Music and well-being research clusters (left) and annual trend analysis with piecewise regression (right). Beyond overall publication growth, our country-level analysis reveals significant variations in research output and collaborative patterns. The United States dominates with 4,094 publications, substantially outpacing the United Kingdom (1,618) and China (1,380). Other key contributors include Australia (1,111), Canada (791), and Germany (701). Notably, while the United States and India maintain high publication volumes, they demonstrate relatively limited international collaboration (13.6% and 12.1% respectively). This contrasts sharply with nations like South Korea (29.8% internationally co-authored publications), Italy (28.0%), and the Netherlands (25.7%), which show stronger global research integration. These disparities highlight fundamental differences in both productivity and scholarly connectivity among leading nations, as visually summarized in Figure 2 . The findings suggest that research volume alone does not necessarily correlate with international engagement, revealing distinct national approaches to music and wellbeing research. 3.2 Cluster-based bibliometric analysis Our Louvain clustering analysis of author keyword co-occurrence networks identified five distinct thematic research clusters ( Figure 3 , left). Using cosine similarity, we mapped these cluster-level keyword profiles to individual articles, enabling longitudinal tracking of thematic evolution. Two clusters showed particularly rapid growth during 2010–2024: Cluster 1 (Well-being, Motivation, and Spiritual Growth in Musical Experience) and Cluster 2 (Music Therapy for Anxiety, Pain, and Emotional Distress). Cluster 3 (Music Perception: Emotion, Cognition, and Identity) demonstrated steady expansion, while Clusters 4 (Music-based Rehabilitation and Wellness in Older Adults) and 5 (Hearing Health and Risk Awareness in Youth) maintained consistent annual growth. These trends collectively highlight the field’s growing emphasis on mental health applications, aging populations, and auditory well-being ( Figure 3 , right), reflecting broader societal health priorities in music research. Cluster 1: Well-being, Motivation, and Spiritual Growth in Musical Experience This cluster demonstrates music’s capacity to facilitate personal transformation through emotional enrichment, existential exploration, and identity development in both individual and communal contexts. The research reveals two key dimensions of musical experience: (1) an innate psychobiological foundation, evidenced by early work showing humans’ natural ability to synchronize emotional states with musical expressions, 26 and (2) culturally-mediated transformative effects. Neurochemical studies elucidate music’s ability to stimulate motivational and social bonding systems, enhancing psychological resilience. 27 In collective settings like raves, music facilitates symbolic healing through altered states of consciousness and emotional catharsis. 28 Active musical engagement—including singing, rapping, and movement—promotes self-actualization by fostering creativity, self-esteem, and identity consolidation. 6 Awe-inducing musical experiences further contribute to spiritual growth and meaning-making, 29 while intercultural musical practices strengthen community belonging and cross-cultural understanding. 30 Despite its transformative potential, this research stream remains under-cited relative to clinical applications, suggesting opportunities for greater scholarly recognition. Cluster 2: Relieving Anxiety, Pain, and Emotional Distress through Music Therapy This cluster examines the evidence-based application of music therapy for alleviating psychological and physical distress in clinical environments. While music’s calming effects have been historically acknowledged, structured clinical research only emerged in the 2000s through systematic reviews and controlled trials. A seminal review established that audio-delivered music interventions in hospital settings consistently reduce anxiety and improve mood, though physiological outcomes show more variability. 31 The evidence base has since expanded significantly, with clinical guidelines now incorporating music therapy for breast cancer care—both for general stress reduction 32 and specifically during chemotherapy to enhance emotional well-being and treatment tolerance. 33 Comparable therapeutic benefits have been documented in perinatal care, where music interventions decrease maternal anxiety and labor pain while improving birth experiences. 34 Comprehensive meta-analyses confirm these effects, demonstrating music therapy’s robust capacity to mitigate stress, regulate physiological arousal, and promote emotional balance across diverse clinical populations, 35 with additional benefits for fatigue management and sleep quality. 36 This progression from anecdotal use to evidence-based practice reflects the field’s maturation into a standardized therapeutic modality. Cluster 3: Emotion, Cognition, and Individual Identity in Music Perception This cluster elucidates the complex interplay between music perception, emotional processing, and cognitive functioning. Foundational research established that listeners demonstrate remarkable consistency in interpreting musical meaning through structured descriptors, indicating that musical expressiveness derives from shared symbolic and rhythmic conventions rather than subjective interpretation alone. 37 Neuroscientific evidence reveals music’s capacity to activate primal emotional networks, triggering memory recall, mood modulation, and physiological responses (e.g., chills)—findings that support evolutionary theories of music as a communication and social bonding mechanism. 38 Theoretical models have since delineated six distinct pathways for musical emotion induction (brainstem reflexes, conditioning, emotional contagion, visual imagery, episodic memory, and cognitive expectancy), emphasizing the need for mechanism-specific investigations. 39 Neurochemical research has further demonstrated dopamine-mediated effects on musical pleasure and motivation, providing direct evidence of music’s reward system engagement. 40 Contemporary work bifurcates into two productive directions: (1) applied research on music-based emotional regulation through personalized interventions, 41 and (2) fundamental studies of music’s cognitive effects, including neural plasticity and therapeutic applications across brain functions. 42 Together, these advances underscore music’s dual role as both an emotional modulator and cognitive stimulant. Cluster 4: Rehabilitation and Wellness in Older Adults through Music This cluster examines the evidence-based application of music therapy for geriatric rehabilitation, with particular focus on Parkinson’s disease and dementia populations. While initial research recognized music’s general calming effects, systematic therapeutic applications only gained empirical support in the 2000s. For Parkinson’s patients, active music therapy combining singing and rhythmic movement demonstrates significant improvements in motor symptoms (e.g., bradykinesia), emotional well-being, and functional capacity. 43 Complementary approaches using dance and rhythmic auditory stimulation enhance gait rehabilitation while simultaneously addressing cognitive-motor integration. 44 Emerging digital modalities show promise, as evidenced by a pilot study where virtual group music therapy reduced apathy and depression with strong participant adherence. 45 In dementia care, meta-analyses confirm music therapy’s efficacy in reducing behavioral symptoms (agitation, anxiety) and improving cognitive metrics and quality of life, 46 , 47 often through multimodal interventions incorporating movement. Recent technological advances have expanded therapeutic access through ICT-based programs that manage neuropsychiatric symptoms via interactive digital platforms. 48 These developments reflect music therapy’s evolution from adjunctive comfort measure to standardized rehabilitation component in geriatric care. Cluster 5: Hearing Health and Risk Awareness in Young Music Listeners This cluster investigates hearing health risks associated with recreational music exposure among youth populations. Pioneering experimental studies first established the physiological vulnerability to high-decibel stimuli and fundamental mechanisms of auditory conditioning. 49 Clinical research subsequently identified subclinical auditory pathologies—including hyperacusis and tinnitus—in young music listeners without measurable hearing loss. 50 Public health studies have since shifted focus to behavioral prevention, with systematic reviews identifying personal audio devices and live music venues as primary risk factors for noise-induced hearing loss (NIHL) and advocating for targeted education initiatives, 51 , 52 Emerging evidence reveals early-stage auditory damage in young musicians through advanced diagnostics, suggesting conventional audiometry may underestimate music-related hearing impairment. 53 While current rehabilitation options remain limited, novel interventions including gene therapy and precision medicine show promise for addressing irreversible auditory damage, 54 highlighting the need for both preventive strategies and advanced treatment development. Following the scanning, sensing, and substantiating framework, 23 Table 2 presents seminal articles representative of each thematic cluster, identified through cosine similarity-based keyword alignment. The selected publications are organized chronologically by research era, showcasing influential works that exemplify each cluster’s conceptual focus. Citation metrics—including total citations (TC) and citations per year (CPY)—provide quantitative indicators of their sustained scholarly impact and temporal influence within the field. Table 2. Representative articles by cluster and era with citation metrics. Era Year Article Title CPY TC Cluster 1: Well-being, Motivation, and Spiritual Growth in Musical Experience 1 1983 The relationship between ratings of the emotional characters of musics and the emotions aroused by them 0.07 3 2 2000 The rave: Spiritual healing in modern western subcultures 3.69 96 3 2013 The neurochemistry of music 48.38 629 4 2021 How Do Music Activities Affect Health and Well - Being ? A Scoping Review of Studies Examining Psychosocial Mechanisms 21.60 108 4 2023 Awe as a Pathway to Mental and Physical Health 21.33 64 4 2024 Music, social cohesion , and intercultural understanding : A conceptual framework for intercultural music engagement 5.00 10 Cluster 2: Relieving Anxiety, Pain, and Emotional Distress through Music Therapy 2 2002 The effectiveness of music as an intervention for hospital patients : A systematic review 10.29 247 3 2017 Clinical practice guidelines on the evidence-based use of integrative therapies during and after breast cancer treatment 63.67 573 4 2020 Virtual reality and music therapy as distraction interventions to alleviate anxiety and improve mood states in breast cancer patients during chemotherapy 28.33 170 4 2020 Effects of music interventions on stress-related outcomes : a systematic review and two meta-analyses 42.33 254 4 2022 Music therapy for stress reduction : a systematic review and meta-analysis 46.00 184 4 2024 The role and outcomes of music therapy during pregnancy : a systematic review of randomized controlled trials 6.50 13 Cluster 3: Emotion, Cognition, and Individual Identity in Music Perception 1 1935 Expression in music : a discussion of experimental studies and theories 1.87 170 2 2002 Emotional sounds and the brain : The neuro-affective foundations of musical appreciation 13.83 332 3 2008 Emotional responses to music : The need to consider underlying mechanisms 68.17 1,227 4 2019 Dopamine modulates the reward experiences elicited by music 31.71 222 4 2023 An emotion-based personalized music recommendation framework for emotion improvement 14.67 44 4 2024 The transformative power of music: Insights into neuroplasticity , health, and disease 7.50 15 Cluster 4: Rehabilitation and Wellness in Older Adults through Music 2 2000 Active music therapy in Parkinson’s disease: An integrative method for motor and emotional rehabilitation 12.62 328 3 2017 Systematic review of systematic reviews of non-pharmacological interventions to treat behavioural disturbances in older patients with dementia . the SENATOR-OnTop series 39.33 354 4 2019 Music therapy and dance as gait rehabilitation in patients with Parkinson disease: A Review of Evidence 11.86 83 4 2020 Music therapy in the treatment of dementia : A systematic review and meta-analysis 23.00 138 4 2023 The effectiveness of non-pharmacological interventions using information and communication technologies for behavioral and psychological symptoms of dementia : A systematic review and meta-analysis 9.00 27 4 2024 Virtual group music therapy for apathy in Parkinson’s disease: A pilot study 5.50 11 Cluster 5: Hearing Health and Risk Awareness in Young Music Listeners 1 1977 Galvanic skin response-orienting reflex and semantic conditioning and generalization with different unconditioned stimuli 0.29 14 2 1999 Hypersensitivity to sound. Questionnaire data, audiometry and classification 7.89 213 3 2007 Noise and hearing loss: A review 15.32 291 4 2020 Inner ear gene therapies take off: Current promises and future challenges 15.50 93 4 2021 Loud music and leisure noise is a common cause of chronic hearing loss , tinnitus and hyperacusis 9.80 49 4 2024 A longitudinal study investigating the effects of noise exposure on behavioural, electrophysiological and self-report measures of hearing in musicians with normal audiometric thresholds 2.00 4 Discussion This bibliometric analysis reveals a rapidly expanding field of music and well-being research, characterized by distinct thematic clusters and evolving temporal trends. The dramatic surge in publications (2018-2024) reflects growing interdisciplinary recognition of music’s role in health and emotional wellness. The dominance of clinical-therapeutic applications (Cluster 2) aligns with global healthcare shifts toward non-pharmacological interventions, particularly for anxiety, pain management, and mood regulation, 32 , 35 While declining citation rates in recent years may reflect either delayed impact assessment or thematic saturation, they underscore the need for innovative methodologies and deeper mechanistic investigations. Notably, the geographic distribution of research output shows disproportionate representation from Western nations (U.S. and Europe) compared to musically rich but academically underrepresented regions (Africa, South America), suggesting potential cultural biases that warrant systematic examination. 55 These findings collectively highlight both the field’s maturation and persistent gaps requiring cross-cultural, translational, and methodological advancements. The prominence of Cluster 1 (Well-being and Spiritual Growth) and Cluster 3 (Emotion and Cognition) underscores music’s dual capacity as both a transformative cultural practice and a neurobiological modulator. Cluster 1’s focus on music’s ability to induce awe, foster meaning-making, and shape identity, 29 , 30 resonates with contemporary positive psychology frameworks emphasizing transcendent experiences. Concurrently, Cluster 3’s neuroscientific advances have delineated music’s dopaminergic reward mechanisms 40 and emotion regulatory functions, 41 bridging aesthetic appreciation with empirical validation. The relatively lower citation impact of Cluster 1 may reflect an academic bias favoring quantitative clinical studies over qualitative or cross-cultural investigations of musical experience, suggesting the need for more pluralistic evaluation frameworks. While emerging digital therapeutics—including AI-driven music therapy and personalized recommendation systems 6 —offer promising scalability, they raise unresolved ethical questions regarding equitable access and the preservation of musical-cultural authenticity that demand urgent scholarly attention. Cluster 4 (Rehabilitation in Older Adults) and Cluster 5 (Hearing Health) address critical public health priorities across the lifespan. Cluster 4 demonstrates compelling evidence for music therapy’s efficacy in managing neurodegenerative conditions, 46 , 47 yet its clinical integration remains inconsistent due to variability in therapeutic protocols and healthcare policy implementation. Conversely, Cluster 5 reveals a persistent prevention gap in youth hearing conservation, where established behavioral interventions like volume regulation and auditory education remain underutilized despite documented risks, 52 , 53 While emerging biotechnological approaches (e.g., gene therapy for hearing restoration 54 ) offer promising avenues, their clinical translation requires rigorous evaluation to assess practical applicability and long-term outcomes. Together, these clusters underscore the need for both improved implementation of existing evidence-based music interventions and advancement of novel therapeutic solutions. Nurses serve as pivotal implementers and advocates for music therapy integration in clinical care, leveraging their frontline position to address patients’ psychosocial needs through music-based interventions, 36 , 56 , 57 As primary caregivers, nurses are uniquely positioned to administer and evaluate music therapy applications for stress alleviation, pain reduction, and emotional support. Empirical studies document significant improvements in patient outcomes when nurses incorporate music therapy modalities—including structured listening sessions, live musical interactions, and personalized playlists—with demonstrated benefits for anxiety reduction, sleep improvement, and overall care satisfaction. 58 Particularly in palliative, dementia, and postoperative care settings, nurse-led music interventions have proven effective in enhancing communication, reducing agitation, and promoting relaxation when pharmacological options are limited. 59 However, persistent barriers including time limitations, inadequate training, and restrictive institutional policies continue to hinder broader implementation. To optimize patient outcomes, healthcare systems should: (1) incorporate music therapy competencies into nursing education curricula, (2) foster structured collaboration between nurses and certified music therapists, and (3) integrate evidence-based music interventions into standardized care protocols across clinical specialties. While this study provides a comprehensive mapping of the music and well-being research landscape, several limitations warrant consideration. First, our Scopus-derived dataset, though extensive, may underrepresent non-English publications and gray literature, potentially overlooking culturally-specific music therapy applications. Second, while bibliometric analysis effectively reveals quantitative patterns, it cannot capture nuanced qualitative insights—a gap best addressed through complementary systematic reviews. These limitations suggest three critical directions for future research: (1) mechanistic studies examining longitudinal intervention effects and individual response variability, (2) ethical analyses of digital music therapy implementation, and (3) cross-cultural collaborations to diversify the evidence base by incorporating global musical traditions. Addressing these priorities will advance the field toward more inclusive, empirically-grounded applications of music for holistic health promotion and human flourishing. Conclusion This bibliometric analysis emphasizes the swift expansion and interdisciplinary character of research concerning music and well-being, identifying five principal thematic clusters that highlight music’s therapeutic, cognitive, and emotional advantages. Although therapeutic applications predominate in the literature, burgeoning fields like as neuroscientific mechanisms, digital remedies, and cross-cultural studies offer exciting prospects for future investigation. Despite the field’s growth, differences in worldwide contributions and implementation gaps in healthcare settings—especially in nursing practice—necessitate enhanced inclusivity, standardized protocols, and translational research. Confronting these obstacles is essential for optimizing music’s capacity to improve well-being among varied populations and promoting evidence-based, scalable therapies. Data availability, code and other materials No data are associated with this article. Supplementary materials are available in the supplementary data. Extended data Zenodo: A Bibliometric Analysis of Music’s Role in Promoting Well-Being in Health Science Research, https://doi.org/10.5281/zenodo.16892715 . 60 This project contains the following extended data: Appendix A Bibliometric Search Strategy.docx Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Acknowledgements Thank you to “Special Task Force for Activating Research, Multidisciplinary approaches to improve holistic well-being for all ages: Harmonizing nursing science and music Research Group, Chulalongkorn University, Bangkok, Thailand”. References 1. Greenberg DM, Decety J, Gordon I: The social neuroscience of music: Understanding the social brain through human song. Am. Psychol. 2021; 76 (7): 1172–1185. PubMed Abstract | Publisher Full Text 2. Rahman JS, Gedeon T, Caldwell S, et al. : Towards effective music therapy for mental health care using machine learning tools: human affective reasoning and music genres. J. Artif. Intell. Soft Comput. Res. 2021; 11 (1): 5–20. Publisher Full Text 3. Karkou V, Sajnani N, Orkibi H, et al. : The psychological and physiological benefits of the arts. Frontiers Media SA; 2022; 840089. 4. Viola E, Martorana M, Airoldi C, et al. : The role of music in promoting health and wellbeing: a systematic review and meta-analysis. Eur. J. Pub. Health. 2023; 33 (4): 738–745. PubMed Abstract | Publisher Full Text | Free Full Text 5. Agres KR, Schaefer RS, Volk A, et al. : Music, computing, and health: a roadmap for the current and future roles of music technology for health care and well-being. Music. Sci. 2021; 4 : 2059204321997709. Publisher Full Text 6. Dingle GA, Sharman LS, Bauer Z, et al. : How do music activities affect health and well-being? A scoping review of studies examining psychosocial mechanisms. Front. Psychol. 2021; 12 : 713818. PubMed Abstract | Publisher Full Text | Free Full Text 7. Javaid ZK, Akram D, Fatima SM, et al. : Investigating Emotional Experiences of Music Listener: Impact on Psychological Well-being. Harf-O-Sukhan. 2024; 8 (2): 494–501. 8. Mercier LJ, Langelier DM, Buchanan J, et al. : Development and integration of a music therapy program in the neurologic inpatient setting: a qualitative study. Disabil. Rehabil. 2025; 47 (9): 2304–2313. PubMed Abstract | Publisher Full Text 9. Kelly L, Richardson I, Moss H: Reducing rural isolation through music: telehealth music therapy for community dwelling people living with dementia and their family caregivers in rural Ireland.2023. 10. McCrary JM, Altenmüller E, Kretschmer C, et al. : Association of music interventions with health-related quality of life: a systematic review and meta-analysis. JAMA Netw. Open. 2022; 5 (3): e223236–e223236. PubMed Abstract | Publisher Full Text | Free Full Text 11. Donthu N, Kumar S, Mukherjee D, et al. : How to conduct a bibliometric analysis: An overview and guidelines. J. Bus. Res. 2021; 133 : 285–296. Publisher Full Text 12. Ellegaard O, Wallin JA: The bibliometric analysis of scholarly production: How great is the impact? Scientometrics. 2015; 105 : 1809–1831. PubMed Abstract | Publisher Full Text | Free Full Text 13. Kumar M, George RJ, PS A.: Bibliometric analysis for medical research. Indian Journal of. Psychol. Med. 2023; 45 (3): 277–282. 14. Page MJ, McKenzie JE, Bossuyt PM, et al. : The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021; 372. Publisher Full Text 15. McKinney W: Data structures for statistical computing in Python. SciPy. 2010; 445 (1): 51–56. 16. Bird S, Klein E, Loper E: Natural language processing with Python: analyzing text with the natural language toolkit. O’Reilly Media, Inc.; 2009. 17. Aria M, Cuccurullo C: bibliometrix: An R-tool for comprehensive science mapping analysis. J. Informet. 2017; 11 (4): 959–975. Publisher Full Text 18. Van Eck N, Waltman L: Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2009; 84 (2): 523–538. PubMed Abstract | Publisher Full Text 19. Barbier V, Jeangirard E: Mapping scientific communities at scale. arXiv preprint arXiv:250110035. 2025. 20. Chen H, Tsang Y, Wu C: When text mining meets science mapping in the bibliometric analysis: A review and future opportunities. Int. J. Eng. Bus. Manag. 2023; 15 : 18479790231222349. Publisher Full Text 21. Elsamani Y, Kajikawa Y: Envisioning the Future of Mobility: A Well-Being-Oriented Approach. Sustainability. 2024; 16 (18): 8114. Publisher Full Text 22. Bawack RE, Wamba SF, Carillo KDA, et al. : Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electron. Mark. 2022; 32 (1): 297–338. PubMed Abstract | Publisher Full Text | Free Full Text 23. Lim WM, Kumar S: Guidelines for interpreting the results of bibliometric analysis: A sensemaking approach. Glob. Bus. Organ. Excell. 2024; 43 (2): 17–26. Publisher Full Text 24. Klarin A: How to conduct a bibliometric content analysis: Guidelines and contributions of content co-occurrence or co-word literature reviews. Int. J. Consum. Stud. 2024; 48 (2): e13031. Publisher Full Text 25. Kajikawa Y: Reframing evidence in evidence-based policy making and role of bibliometrics: toward transdisciplinary scientometric research. Scientometrics. 2022; 127 (9): 5571–5585. Publisher Full Text 26. 中村均: 音楽の情動的性格の評定と音楽によって生じる情動の評定の関係. 心理学研究. 1983; 54 (1): 54–57. 27. Chanda ML, Levitin DJ: The neurochemistry of music. Trends Cogn. Sci. 2013; 17 (4): 179–193. PubMed Abstract | Publisher Full Text 28. Hutson SR: The rave: Spiritual healing in modern western subcultures. Anthropol. Q. 2000; 35–49. 29. Monroy M, Keltner D: Awe as a pathway to mental and physical health. Perspect. Psychol. Sci. 2023; 18 (2): 309–320. PubMed Abstract | Publisher Full Text | Free Full Text 30. Crooke AHD, Thompson WF, Fraser T, et al. : Music, social cohesion, and intercultural understanding: A conceptual framework for intercultural music engagement. Music. Sci. 2024; 28 (1): 18–38. Publisher Full Text 31. Evans D: The effectiveness of music as an intervention for hospital patients: a systematic review. J. Adv. Nurs. 2002; 37 (1): 8–18. PubMed Abstract | Publisher Full Text 32. Greenlee H, DuPont-Reyes MJ, Balneaves LG, et al. : Clinical practice guidelines on the evidence-based use of integrative therapies during and after breast cancer treatment. CA Cancer J. Clin. 2017; 67 (3): 194–232. PubMed Abstract | Publisher Full Text 33. Chirico A, Maiorano P, Indovina P, et al. : Virtual reality and music therapy as distraction interventions to alleviate anxiety and improve mood states in breast cancer patients during chemotherapy. J. Cell. Physiol. 2020; 235 (6): 5353–5362. PubMed Abstract | Publisher Full Text 34. Ji C, Zhao J, Nie Q, et al. : The role and outcomes of music therapy during pregnancy: a systematic review of randomized controlled trials. J. Psychosom. Obstet. Gynecol. 2024; 45 (1): 2291635. PubMed Abstract | Publisher Full Text 35. De Witte M, Spruit A, Van Hooren S, et al. : Effects of music interventions on stress-related outcomes: a systematic review and two meta-analyses. Health Psychol. Rev. 2020; 14 (2): 294–324. PubMed Abstract | Publisher Full Text 36. De Witte M, Pinho AS, Stams G-J, et al. : Music therapy for stress reduction: a systematic review and meta-analysis. Health Psychol. Rev. 2022; 16 (1): 134–159. PubMed Abstract | Publisher Full Text 37. Hevner K: Expression in music: a discussion of experimental studies and theories. Psychol. Rev. 1935; 42 (2): 186–204. Publisher Full Text 38. Panksepp J, Bernatzky G: Emotional sounds and the brain: the neuro-affective foundations of musical appreciation. Behav. Process. 2002; 60 (2): 133–155. PubMed Abstract | Publisher Full Text 39. Juslin PN, Västfjäll D: Emotional responses to music: The need to consider underlying mechanisms. Behav. Brain Sci. 2008; 31 (5): 559–575. PubMed Abstract | Publisher Full Text 40. Ferreri L, Mas-Herrero E, Zatorre RJ, et al. : Dopamine modulates the reward experiences elicited by music. Proc. Natl. Acad. Sci. 2019; 116 (9): 3793–3798. PubMed Abstract | Publisher Full Text | Free Full Text 41. Liu Z, Xu W, Zhang W, et al. : An emotion-based personalized music recommendation framework for emotion improvement. Inf. Process. Manag. 2023; 60 (3): 103256. Publisher Full Text 42. Stegemöller EL: Exploring a neuroplasticity model of music therapy. J. Music. Ther. 2014; 51 (3): 211–227. PubMed Abstract | Publisher Full Text 43. Pacchetti C, Mancini F, Aglieri R, et al. : Active music therapy in Parkinson’s disease: an integrative method for motor and emotional rehabilitation. Psychosom. Med. 2000; 62 (3): 386–393. PubMed Abstract | Publisher Full Text 44. Pereira APS, Marinho V, Gupta D, et al. : Music therapy and dance as gait rehabilitation in patients with Parkinson disease: a review of evidence. J. Geriatr. Psychiatry Neurol. 2019; 32 (1): 49–56. PubMed Abstract | Publisher Full Text 45. Shah-Zamora D, Anderson S, Barton B, et al. : Virtual group music therapy for apathy in Parkinson’s disease: a pilot study. J. Geriatr. Psychiatry Neurol. 2024; 37 (1): 49–60. PubMed Abstract | Publisher Full Text 46. Abraha I, Rimland JM, Trotta FM, et al. : Systematic review of systematic reviews of non-pharmacological interventions to treat behavioural disturbances in older patients with dementia. The SENATOR-OnTop series. BMJ Open. 2017; 7 (3): e012759. PubMed Abstract | Publisher Full Text | Free Full Text 47. Moreno-Morales C, Calero R, Moreno-Morales P, et al. : Music therapy in the treatment of dementia: A systematic review and meta-analysis. Front. Med. 2020; 7 : 160. PubMed Abstract | Publisher Full Text | Free Full Text 48. Cho E, Shin J, Seok JW, et al. : The effectiveness of non-pharmacological interventions using information and communication technologies for behavioral and psychological symptoms of dementia: A systematic review and meta-analysis. Int. J. Nurs. Stud. 2023; 138 : 104392. PubMed Abstract | Publisher Full Text 49. Maltzman I, Langdon B, Pendery M, et al. : Galvanic skin response-orienting reflex and semantic conditioning and generalization with different unconditioned stimuli. J. Exp. Psychol. Gen. 1977; 106 (2): 141–171. PubMed Abstract | Publisher Full Text 50. Anari M, Axelsson A, Eliasson A, et al. : Hypersensitivity to sound: questionnaire data, audiometry and classification. Scand. Audiol. 1999; 28 (4): 219–230. PubMed Abstract | Publisher Full Text 51. Daniel E: Noise and hearing loss: a review. J. Sch. Health. 2007; 77 (5): 225–231. Publisher Full Text 52. Pienkowski M: Loud music and leisure noise is a common cause of chronic hearing loss, tinnitus and hyperacusis. Int. J. Environ. Res. Public Health. 2021; 18 (8): 4236. PubMed Abstract | Publisher Full Text | Free Full Text 53. Couth S, Prendergast G, Guest H, et al. : A longitudinal study investigating the effects of noise exposure on behavioural, electrophysiological and self-report measures of hearing in musicians with normal audiometric thresholds. Hear. Res. 2024; 451 : 109077. PubMed Abstract | Publisher Full Text 54. Delmaghani S, El-Amraoui A: Inner ear gene therapies take off: current promises and future challenges. J. Clin. Med. 2020; 9 (7): 2309. PubMed Abstract | Publisher Full Text | Free Full Text 55. Fancourt D, Finn S: What is the evidence on the role of the arts in improving health and well-being? A scoping review.2020. 56. Bernatzky G, Presch M, Anderson M, et al. : Emotional foundations of music as a non-pharmacological pain management tool in modern medicine. Neurosci. Biobehav. Rev. 2011; 35 (9): 1989–1999. PubMed Abstract | Publisher Full Text 57. Arnold CA, Bagg MK, Harvey AR: The psychophysiology of music-based interventions and the experience of pain. Front. Psychol. 2024; 15 : 1361857. PubMed Abstract | Publisher Full Text | Free Full Text 58. Chen L, Yin J, Zheng Y, et al. : The effectiveness of music listening for critically ill patients: A systematic review. Nurs. Crit. Care. 2023; 28 (6): 1132–1142. Publisher Full Text 59. Gutgsell KJ, Schluchter M, Margevicius S, et al. : Music therapy reduces pain in palliative care patients: a randomized controlled trial. J. Pain Symptom Manag. 2013; 45 (5): 822–831. PubMed Abstract | Publisher Full Text 60. Hasan F: A Bibliometric Analysis of Music’s Role in Promoting Well-Being in Health Science Research. Zenodo. 2025. Publisher Full Text Comments on this article Comments (0) Version 2 VERSION 2 PUBLISHED 04 Sep 2025 ADD YOUR COMMENT Comment Author details Author details 1 Faculty of Nursing, Chulalongkorn University, Bangkok, Bangkok, Thailand 2 Multidisciplinary approaches to improve holistic well-being for all ages: Harmonizing nursing science and music Research Group, Chulalongkorn University, Bangkok, Bangkok, Thailand 3 Invited Researcher, Faculty of Education, Chulalongkorn University, Bangkok, Bangkok, Thailand 4 Faculty of Education, Chulalongkorn University, Bangkok, Bangkok, Thailand Kanjanee Phanphairoj Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Sutthisan Chumwichan Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Ratsiri Thato Roles: Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing Dneya Udtaisuk Roles: Conceptualization, Data Curation, Resources, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Debby Syahru Romadlon Roles: Conceptualization, Data Curation, Methodology, Resources, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Faizul Hasan Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Competing interests No competing interests were disclosed. Grant information The author(s) declared that no grants were involved in supporting this work. Article Versions (2) version 2 Revised Published: 31 Mar 2026, 14:873 https://doi.org/10.12688/f1000research.168772.2 version 1 Published: 04 Sep 2025, 14:873 https://doi.org/10.12688/f1000research.168772.1 Copyright © 2025 Phanphairoj K et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Phanphairoj K, Chumwichan S, Thato R et al. A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.12688/f1000research.168772.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 1 VERSION 1 PUBLISHED 04 Sep 2025 Views 0 Cite How to cite this report: Javaid ZK. Reviewer Report For: A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.5256/f1000research.185982.r429569 ) The direct URL for this report is: https://f1000research.com/articles/14-873/v1#referee-response-429569 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 24 Dec 2025 Zartashia Kynat Javaid , Government College University Faisalabad, Faisalabad, Punjab, Pakistan Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.185982.r429569 This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Abstract lacks method details. Introduction is brief,incomplete and structured poorly.Define wellbeing,draw link of study variables alongwith conceptual underpinnings ... Continue reading READ ALL This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Abstract lacks method details. Introduction is brief,incomplete and structured poorly.Define wellbeing,draw link of study variables alongwith conceptual underpinnings as base of objectives and research questions clearly stated. Give rationale for study. Method indicate systematic review was conducted on 30 studies but abstract has no mention. Further, make comprehensive table of these studies covering all aspects. Discussion should based on objectives in light of literature. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? No Are sufficient details of methods and analysis provided to allow replication by others? No If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? No Are the conclusions drawn adequately supported by the results? No Competing Interests: No competing interests were disclosed. Reviewer Expertise: Applied Psychology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Javaid ZK. Reviewer Report For: A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.5256/f1000research.185982.r429569 ) The direct URL for this report is: https://f1000research.com/articles/14-873/v1#referee-response-429569 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 31 Mar 2026 faizul hasan , Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand 31 Mar 2026 Author Response This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Response: Thank you for your acknowledgment. A comprehensive, itemized reply ... Continue reading This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Response: Thank you for your acknowledgment. A comprehensive, itemized reply to each comment is presented below. Any modifications have been marked in red in the manuscript for convenient reference. We trust that these improvements sufficiently resolve your concerns to enhance the overall quality of the manuscript. Thank you once more for your invaluable feedback and consideration. Abstract lacks method details. Response: We have expanded the Methods section of the Abstract. Introduction is brief, incomplete and structured poorly. Define wellbeing, draw link of study variables along with conceptual underpinnings as base of objectives and research questions clearly stated. Give rationale for study. Response: We have substantially revised the Introduction section. Method indicate systematic review was conducted on 30 studies but abstract has no mention. Further, make comprehensive table of these studies covering all aspects. Response: We thank the reviewer for identifying this inconsistency between the Methods section and the Abstract. We have addressed this issue. Discussion should based on objectives in light of literature. Response: The Discussion is now structured around the three research objectives, with each section explicitly interpreting findings in relation to the broader literature. Implications for research, clinical practice, and policy have been added. This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Response: Thank you for your acknowledgment. A comprehensive, itemized reply to each comment is presented below. Any modifications have been marked in red in the manuscript for convenient reference. We trust that these improvements sufficiently resolve your concerns to enhance the overall quality of the manuscript. Thank you once more for your invaluable feedback and consideration. Abstract lacks method details. Response: We have expanded the Methods section of the Abstract. Introduction is brief, incomplete and structured poorly. Define wellbeing, draw link of study variables along with conceptual underpinnings as base of objectives and research questions clearly stated. Give rationale for study. Response: We have substantially revised the Introduction section. Method indicate systematic review was conducted on 30 studies but abstract has no mention. Further, make comprehensive table of these studies covering all aspects. Response: We thank the reviewer for identifying this inconsistency between the Methods section and the Abstract. We have addressed this issue. Discussion should based on objectives in light of literature. Response: The Discussion is now structured around the three research objectives, with each section explicitly interpreting findings in relation to the broader literature. Implications for research, clinical practice, and policy have been added. Competing Interests: no Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 31 Mar 2026 faizul hasan , Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand 31 Mar 2026 Author Response This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Response: Thank you for your acknowledgment. A comprehensive, itemized reply ... Continue reading This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Response: Thank you for your acknowledgment. A comprehensive, itemized reply to each comment is presented below. Any modifications have been marked in red in the manuscript for convenient reference. We trust that these improvements sufficiently resolve your concerns to enhance the overall quality of the manuscript. Thank you once more for your invaluable feedback and consideration. Abstract lacks method details. Response: We have expanded the Methods section of the Abstract. Introduction is brief, incomplete and structured poorly. Define wellbeing, draw link of study variables along with conceptual underpinnings as base of objectives and research questions clearly stated. Give rationale for study. Response: We have substantially revised the Introduction section. Method indicate systematic review was conducted on 30 studies but abstract has no mention. Further, make comprehensive table of these studies covering all aspects. Response: We thank the reviewer for identifying this inconsistency between the Methods section and the Abstract. We have addressed this issue. Discussion should based on objectives in light of literature. Response: The Discussion is now structured around the three research objectives, with each section explicitly interpreting findings in relation to the broader literature. Implications for research, clinical practice, and policy have been added. This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Response: Thank you for your acknowledgment. A comprehensive, itemized reply to each comment is presented below. Any modifications have been marked in red in the manuscript for convenient reference. We trust that these improvements sufficiently resolve your concerns to enhance the overall quality of the manuscript. Thank you once more for your invaluable feedback and consideration. Abstract lacks method details. Response: We have expanded the Methods section of the Abstract. Introduction is brief, incomplete and structured poorly. Define wellbeing, draw link of study variables along with conceptual underpinnings as base of objectives and research questions clearly stated. Give rationale for study. Response: We have substantially revised the Introduction section. Method indicate systematic review was conducted on 30 studies but abstract has no mention. Further, make comprehensive table of these studies covering all aspects. Response: We thank the reviewer for identifying this inconsistency between the Methods section and the Abstract. We have addressed this issue. Discussion should based on objectives in light of literature. Response: The Discussion is now structured around the three research objectives, with each section explicitly interpreting findings in relation to the broader literature. Implications for research, clinical practice, and policy have been added. Competing Interests: no Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Imkome Eu. Reviewer Report For: A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.5256/f1000research.185982.r421932 ) The direct URL for this report is: https://f1000research.com/articles/14-873/v1#referee-response-421932 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 24 Oct 2025 Ek-uma Imkome , Independent Scholar, Pratumtani, Thailand Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.185982.r421932 Title of Article A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ ... Continue reading READ ALL Title of Article A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce a comprehensive overview of more than 16,000 articles. The analysis is distinguished by its clarity and rigor, effectively presenting complex data in a well-structured and accessible format. The thematic organization is coherent, and the discussion thoughtfully highlights the role of nurses in music-based interventions, which aligns well with the journal’s interdisciplinary scope. This work makes a meaningful contribution to the literature and provides a strong foundation for future cross-sector collaboration. Minor Suggestions for Improvement 1. Abstract Enhancement Clarify the study’s objectives and provide a concise summary of key findings (e.g., number of clusters, leading countries, prominent trends). Include explicit implications for practice or policy to strengthen the abstract’s relevance for clinicians and educators. 2. Nursing Integration Expand the discussion on how music-based approaches can be integrated into nursing education and clinical practice. Consider adding a dedicated subsection detailing nursing implications to enhance applicability for healthcare professionals. 3. Limitations and Future Directions The limitations section is well-articulated but could benefit from quantifying the potential bias due to language or database scope. Future directions could be more specific, such as proposing cross-cultural collaborations or ethical frameworks for digital music therapy. The authors are to be commended for the manuscript’s clarity, methodological rigor, and interdisciplinary relevance. This work represents a valuable contribution to the field and offers a strong foundation for future research and collaboration. I wish the authors continued success in their academic endeavors. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? No source data required Are the conclusions drawn adequately supported by the results? Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: Mental Health and Psychiatric Nursing I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Imkome Eu. Reviewer Report For: A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.5256/f1000research.185982.r421932 ) The direct URL for this report is: https://f1000research.com/articles/14-873/v1#referee-response-421932 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 31 Mar 2026 faizul hasan , Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand 31 Mar 2026 Author Response This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce ... Continue reading This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce a comprehensive overview of more than 16,000 articles. The analysis is distinguished by its clarity and rigor, effectively presenting complex data in a well-structured and accessible format. The thematic organization is coherent, and the discussion thoughtfully highlights the role of nurses in music-based interventions, which aligns well with the journal’s interdisciplinary scope. This work makes a meaningful contribution to the literature and provides a strong foundation for future cross-sector collaboration. Response: Thank you for your recognition. A detailed, itemised response to each comment is provided below. Any changes have been highlighted in red in the manuscript. We believe that the improvements adequately address your comments to improve the manuscript's overall quality. Thank you again for your invaluable feedback and consideration. Minor Suggestions for Improvement 1. Abstract Enhancement Clarify the study’s objectives and provide a concise summary of key findings (e.g., number of clusters, leading countries, prominent trends). Include explicit implications for practice or policy to strengthen the abstract’s relevance for clinicians and educators. Response: We have revised this section accordingly. 2. Nursing Integration Expand the discussion on how music-based approaches can be integrated into nursing education and clinical practice. Consider adding a dedicated subsection detailing nursing implications to enhance applicability for healthcare professionals. Response: This section has been updated in accordance with the aforementioned. 3. Limitations and Future Directions The limitations section is well-articulated but could benefit from quantifying the potential bias due to language or database scope. Future directions could be more specific, such as proposing cross-cultural collaborations or ethical frameworks for digital music therapy. Response: We have revised it. The authors are to be commended for the manuscript’s clarity, methodological rigor, and interdisciplinary relevance. This work represents a valuable contribution to the field and offers a strong foundation for future research and collaboration. I wish the authors continued success in their academic endeavors. Response: Thank you again for your acknowledgment. This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce a comprehensive overview of more than 16,000 articles. The analysis is distinguished by its clarity and rigor, effectively presenting complex data in a well-structured and accessible format. The thematic organization is coherent, and the discussion thoughtfully highlights the role of nurses in music-based interventions, which aligns well with the journal’s interdisciplinary scope. This work makes a meaningful contribution to the literature and provides a strong foundation for future cross-sector collaboration. Response: Thank you for your recognition. A detailed, itemised response to each comment is provided below. Any changes have been highlighted in red in the manuscript. We believe that the improvements adequately address your comments to improve the manuscript's overall quality. Thank you again for your invaluable feedback and consideration. Minor Suggestions for Improvement 1. Abstract Enhancement Clarify the study’s objectives and provide a concise summary of key findings (e.g., number of clusters, leading countries, prominent trends). Include explicit implications for practice or policy to strengthen the abstract’s relevance for clinicians and educators. Response: We have revised this section accordingly. 2. Nursing Integration Expand the discussion on how music-based approaches can be integrated into nursing education and clinical practice. Consider adding a dedicated subsection detailing nursing implications to enhance applicability for healthcare professionals. Response: This section has been updated in accordance with the aforementioned. 3. Limitations and Future Directions The limitations section is well-articulated but could benefit from quantifying the potential bias due to language or database scope. Future directions could be more specific, such as proposing cross-cultural collaborations or ethical frameworks for digital music therapy. Response: We have revised it. The authors are to be commended for the manuscript’s clarity, methodological rigor, and interdisciplinary relevance. This work represents a valuable contribution to the field and offers a strong foundation for future research and collaboration. I wish the authors continued success in their academic endeavors. Response: Thank you again for your acknowledgment. Competing Interests: no Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 31 Mar 2026 faizul hasan , Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand 31 Mar 2026 Author Response This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce ... Continue reading This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce a comprehensive overview of more than 16,000 articles. The analysis is distinguished by its clarity and rigor, effectively presenting complex data in a well-structured and accessible format. The thematic organization is coherent, and the discussion thoughtfully highlights the role of nurses in music-based interventions, which aligns well with the journal’s interdisciplinary scope. This work makes a meaningful contribution to the literature and provides a strong foundation for future cross-sector collaboration. Response: Thank you for your recognition. A detailed, itemised response to each comment is provided below. Any changes have been highlighted in red in the manuscript. We believe that the improvements adequately address your comments to improve the manuscript's overall quality. Thank you again for your invaluable feedback and consideration. Minor Suggestions for Improvement 1. Abstract Enhancement Clarify the study’s objectives and provide a concise summary of key findings (e.g., number of clusters, leading countries, prominent trends). Include explicit implications for practice or policy to strengthen the abstract’s relevance for clinicians and educators. Response: We have revised this section accordingly. 2. Nursing Integration Expand the discussion on how music-based approaches can be integrated into nursing education and clinical practice. Consider adding a dedicated subsection detailing nursing implications to enhance applicability for healthcare professionals. Response: This section has been updated in accordance with the aforementioned. 3. Limitations and Future Directions The limitations section is well-articulated but could benefit from quantifying the potential bias due to language or database scope. Future directions could be more specific, such as proposing cross-cultural collaborations or ethical frameworks for digital music therapy. Response: We have revised it. The authors are to be commended for the manuscript’s clarity, methodological rigor, and interdisciplinary relevance. This work represents a valuable contribution to the field and offers a strong foundation for future research and collaboration. I wish the authors continued success in their academic endeavors. Response: Thank you again for your acknowledgment. This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce a comprehensive overview of more than 16,000 articles. The analysis is distinguished by its clarity and rigor, effectively presenting complex data in a well-structured and accessible format. The thematic organization is coherent, and the discussion thoughtfully highlights the role of nurses in music-based interventions, which aligns well with the journal’s interdisciplinary scope. This work makes a meaningful contribution to the literature and provides a strong foundation for future cross-sector collaboration. Response: Thank you for your recognition. A detailed, itemised response to each comment is provided below. Any changes have been highlighted in red in the manuscript. We believe that the improvements adequately address your comments to improve the manuscript's overall quality. Thank you again for your invaluable feedback and consideration. Minor Suggestions for Improvement 1. Abstract Enhancement Clarify the study’s objectives and provide a concise summary of key findings (e.g., number of clusters, leading countries, prominent trends). Include explicit implications for practice or policy to strengthen the abstract’s relevance for clinicians and educators. Response: We have revised this section accordingly. 2. Nursing Integration Expand the discussion on how music-based approaches can be integrated into nursing education and clinical practice. Consider adding a dedicated subsection detailing nursing implications to enhance applicability for healthcare professionals. Response: This section has been updated in accordance with the aforementioned. 3. Limitations and Future Directions The limitations section is well-articulated but could benefit from quantifying the potential bias due to language or database scope. Future directions could be more specific, such as proposing cross-cultural collaborations or ethical frameworks for digital music therapy. Response: We have revised it. The authors are to be commended for the manuscript’s clarity, methodological rigor, and interdisciplinary relevance. This work represents a valuable contribution to the field and offers a strong foundation for future research and collaboration. I wish the authors continued success in their academic endeavors. Response: Thank you again for your acknowledgment. Competing Interests: no Close Report a concern COMMENT ON THIS REPORT Comments on this article Comments (0) Version 2 VERSION 2 PUBLISHED 04 Sep 2025 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 Version 2 (revision) 31 Mar 26 read Version 1 04 Sep 25 read read Ek-uma Imkome , Independent Scholar, Pratumtani, Thailand Zartashia Kynat Javaid , Government College University Faisalabad, Faisalabad, Pakistan Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Imkome E. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 02 Apr 2026 | for Version 2 Ek-uma Imkome , Independent Scholar, Pratumtani, Thailand 0 Views copyright © 2026 Imkome E. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions I appreciate your thorough responses to the critical points. The revisions adequately address my concerns and improve the manuscript. I have no further comments and hope that this bibliometric analysis contributes meaningfully to nursing science and nursing practice. Competing Interests No competing interests were disclosed. Reviewer Expertise Mental Health and Psychiatric Nursing I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Imkome Eu. Peer Review Report For: A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.5256/f1000research.197699.r472120) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-873/v2#referee-response-472120 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Javaid Z. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 24 Dec 2025 | for Version 1 Zartashia Kynat Javaid , Government College University Faisalabad, Faisalabad, Punjab, Pakistan 0 Views copyright © 2025 Javaid Z. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Abstract lacks method details. Introduction is brief,incomplete and structured poorly.Define wellbeing,draw link of study variables alongwith conceptual underpinnings as base of objectives and research questions clearly stated. Give rationale for study. Method indicate systematic review was conducted on 30 studies but abstract has no mention. Further, make comprehensive table of these studies covering all aspects. Discussion should based on objectives in light of literature. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? No Are sufficient details of methods and analysis provided to allow replication by others? No If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? No Are the conclusions drawn adequately supported by the results? No Competing Interests No competing interests were disclosed. Reviewer Expertise Applied Psychology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 31 Mar 2026 faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand This paper is a good effort to synthesize data on music and wellbeing. There are recommendations for clarity and improvement. Response: Thank you for your acknowledgment. A comprehensive, itemized reply to each comment is presented below. Any modifications have been marked in red in the manuscript for convenient reference. We trust that these improvements sufficiently resolve your concerns to enhance the overall quality of the manuscript. Thank you once more for your invaluable feedback and consideration. Abstract lacks method details. Response: We have expanded the Methods section of the Abstract. Introduction is brief, incomplete and structured poorly. Define wellbeing, draw link of study variables along with conceptual underpinnings as base of objectives and research questions clearly stated. Give rationale for study. Response: We have substantially revised the Introduction section. Method indicate systematic review was conducted on 30 studies but abstract has no mention. Further, make comprehensive table of these studies covering all aspects. Response: We thank the reviewer for identifying this inconsistency between the Methods section and the Abstract. We have addressed this issue. Discussion should based on objectives in light of literature. Response: The Discussion is now structured around the three research objectives, with each section explicitly interpreting findings in relation to the broader literature. Implications for research, clinical practice, and policy have been added. View more View less Competing Interests no reply Respond Report a concern Javaid ZK. Peer Review Report For: A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.5256/f1000research.185982.r429569) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-873/v1#referee-response-429569 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Imkome E. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 24 Oct 2025 | for Version 1 Ek-uma Imkome , Independent Scholar, Pratumtani, Thailand 0 Views copyright © 2025 Imkome E. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Title of Article A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce a comprehensive overview of more than 16,000 articles. The analysis is distinguished by its clarity and rigor, effectively presenting complex data in a well-structured and accessible format. The thematic organization is coherent, and the discussion thoughtfully highlights the role of nurses in music-based interventions, which aligns well with the journal’s interdisciplinary scope. This work makes a meaningful contribution to the literature and provides a strong foundation for future cross-sector collaboration. Minor Suggestions for Improvement 1. Abstract Enhancement Clarify the study’s objectives and provide a concise summary of key findings (e.g., number of clusters, leading countries, prominent trends). Include explicit implications for practice or policy to strengthen the abstract’s relevance for clinicians and educators. 2. Nursing Integration Expand the discussion on how music-based approaches can be integrated into nursing education and clinical practice. Consider adding a dedicated subsection detailing nursing implications to enhance applicability for healthcare professionals. 3. Limitations and Future Directions The limitations section is well-articulated but could benefit from quantifying the potential bias due to language or database scope. Future directions could be more specific, such as proposing cross-cultural collaborations or ethical frameworks for digital music therapy. The authors are to be commended for the manuscript’s clarity, methodological rigor, and interdisciplinary relevance. This work represents a valuable contribution to the field and offers a strong foundation for future research and collaboration. I wish the authors continued success in their academic endeavors. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? No source data required Are the conclusions drawn adequately supported by the results? Yes Competing Interests No competing interests were disclosed. Reviewer Expertise Mental Health and Psychiatric Nursing I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 31 Mar 2026 faizul hasan, Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand This manuscript presents a timely and methodologically rigorous bibliometric synthesis of global research on music and well-being. The authors employ Louvain clustering, cosine similarity, and PRISMA-guided data collection to produce a comprehensive overview of more than 16,000 articles. The analysis is distinguished by its clarity and rigor, effectively presenting complex data in a well-structured and accessible format. The thematic organization is coherent, and the discussion thoughtfully highlights the role of nurses in music-based interventions, which aligns well with the journal’s interdisciplinary scope. This work makes a meaningful contribution to the literature and provides a strong foundation for future cross-sector collaboration. Response: Thank you for your recognition. A detailed, itemised response to each comment is provided below. Any changes have been highlighted in red in the manuscript. We believe that the improvements adequately address your comments to improve the manuscript's overall quality. Thank you again for your invaluable feedback and consideration. Minor Suggestions for Improvement 1. Abstract Enhancement Clarify the study’s objectives and provide a concise summary of key findings (e.g., number of clusters, leading countries, prominent trends). Include explicit implications for practice or policy to strengthen the abstract’s relevance for clinicians and educators. Response: We have revised this section accordingly. 2. Nursing Integration Expand the discussion on how music-based approaches can be integrated into nursing education and clinical practice. Consider adding a dedicated subsection detailing nursing implications to enhance applicability for healthcare professionals. Response: This section has been updated in accordance with the aforementioned. 3. Limitations and Future Directions The limitations section is well-articulated but could benefit from quantifying the potential bias due to language or database scope. Future directions could be more specific, such as proposing cross-cultural collaborations or ethical frameworks for digital music therapy. Response: We have revised it. The authors are to be commended for the manuscript’s clarity, methodological rigor, and interdisciplinary relevance. This work represents a valuable contribution to the field and offers a strong foundation for future research and collaboration. I wish the authors continued success in their academic endeavors. Response: Thank you again for your acknowledgment. View more View less Competing Interests no reply Respond Report a concern Imkome Eu. Peer Review Report For: A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research [version 1; peer review: 2 approved with reservations] . F1000Research 2025, 14 :873 ( https://doi.org/10.5256/f1000research.185982.r421932) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-873/v1#referee-response-421932 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Stay Updated Sign up for content alerts and receive a weekly or monthly email with all newly published articles Register with F1000Research Already registered? Sign in Not now, thanks close PLEASE NOTE If you are an AUTHOR of this article, please check that you signed in with the account associated with this article otherwise we cannot automatically identify your role as an author and your comment will be labelled as a “User Comment”. If you are a REVIEWER of this article, please check that you have signed in with the account associated with this article and then go to your account to submit your report, please do not post your review here. If you do not have access to your original account, please contact us . All commenters must hold a formal affiliation as per our Policies . The information that you give us will be displayed next to your comment. User comments must be in English, comprehensible and relevant to the article under discussion. We reserve the right to remove any comments that we consider to be inappropriate, offensive or otherwise in breach of the User Comment Terms and Conditions . Commenters must not use a comment for personal attacks. When criticisms of the article are based on unpublished data, the data should be made available. I accept the User Comment Terms and Conditions Please confirm that you accept the User Comment Terms and Conditions. Affiliation ✕ refresh Please enter your institution. Note: To add your institution or organisation, start typing the name and then select the correct name from the list. Where applicable, the name will appear in both the original language and in English. Do not paste in the name. If the name does not appear in the drop-down list, we will display the information you have entered. ✕ refresh Country/Region * USA UK Canada China France Germany Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory British Virgin Islands Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Cote d'Ivoire Croatia Cuba Cyprus Czech Republic Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Federated States of Micronesia Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo (Serbia and Montenegro) Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Minor Outlying Islands of the United States Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea North Macedonia Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Is South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand The Gambia The Netherlands Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu UK USA Uganda Ukraine United Arab Emirates United States Virgin Islands Uruguay Uzbekistan Vanuatu Venezuela Vietnam Wallis and Futuna West Bank and Gaza Strip Western Sahara Yemen Zambia Zimbabwe Please select your country/region. You must enter a comment. Competing Interests Please disclose any competing interests that might be construed to influence your judgment of the article's or peer review report's validity or importance. Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Please state your competing interests The comment has been saved. An error has occurred. Please try again. Cancel Post var lTitle = "A Bibliometric Analysis of Music\'s Role...".replace("'", ''); var linkedInUrl = "http://www.linkedin.com/shareArticle?url=https://f1000research.com/articles/14-873/v1" + "&title=" + encodeURIComponent(lTitle) + "&summary=" + encodeURIComponent('Read the article by '); var deliciousUrl = "https://del.icio.us/post?url=https://f1000research.com/articles/14-873/v1&title=" + encodeURIComponent(lTitle); var redditUrl = "http://reddit.com/submit?url=https://f1000research.com/articles/14-873/v1" + "&title=" + encodeURIComponent(lTitle); linkedInUrl += encodeURIComponent('Phanphairoj K et al.'); var offsetTop = /chrome/i.test( navigator.userAgent ) ? 4 : -10; var addthis_config = { ui_offset_top: offsetTop, services_compact : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_expanded : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_custom : [ { name: "LinkedIn", url: linkedInUrl, icon:"/img/icon/at_linkedin.svg" }, { name: "Mendeley", url: "http://www.mendeley.com/import/?url=https://f1000research.com/articles/14-873/v1/mendeley", icon:"/img/icon/at_mendeley.svg" }, { name: "Reddit", url: redditUrl, icon:"/img/icon/at_reddit.svg" }, ] }; var addthis_share = { url: "https://f1000research.com/articles/14-873", templates : { twitter : "A Bibliometric Analysis of Music\'s Role in Promoting Well-Being.... Phanphairoj K et al., published by " + "@F1000Research" + ", https://f1000research.com/articles/14-873/v1" } }; if (typeof(addthis) != "undefined"){ addthis.addEventListener('addthis.ready', checkCount); addthis.addEventListener('addthis.menu.share', checkCount); } $(".f1r-shares-twitter").attr("href", "https://twitter.com/intent/tweet?text=" + addthis_share.templates.twitter); $(".f1r-shares-facebook").attr("href", "https://www.facebook.com/sharer/sharer.php?u=" + addthis_share.url); $(".f1r-shares-linkedin").attr("href", addthis_config.services_custom[0].url); $(".f1r-shares-reddit").attr("href", addthis_config.services_custom[2].url); $(".f1r-shares-mendelay").attr("href", addthis_config.services_custom[1].url); function checkCount(){ setTimeout(function(){ $(".addthis_button_expanded").each(function(){ var count = $(this).text(); if (count !== "" && count != "0") $(this).removeClass("is-hidden"); else $(this).addClass("is-hidden"); }); }, 1000); } close How to cite this report {{reportCitation}} Cancel Copy Citation Details $(function(){R.ui.buttonDropdowns('.dropdown-for-downloads');}); $(function(){R.ui.toolbarDropdowns('.toolbar-dropdown-for-downloads');}); $.get("/articles/acj/168772/185982") new F1000.Clipboard(); new F1000.ThesaurusTermsDisplay("articles", "article", "185982"); $(document).ready(function() { $( "#frame1" ).on('load', function() { var mydiv = $(this).contents().find("div"); var h = mydiv.height(); console.log(h) }); var tooltipLivingFigure = jQuery(".interactive-living-figure-label .icon-more-info"), titleLivingFigure = tooltipLivingFigure.attr("title"); tooltipLivingFigure.simpletip({ fixed: true, position: ["-115", "30"], baseClass: 'small-tooltip', content:titleLivingFigure + " " }); tooltipLivingFigure.removeAttr("title"); $("body").on("click", ".cite-living-figure", function(e) { e.preventDefault(); var ref = $(this).attr("data-ref"); $(this).closest(".living-figure-list-container").find("#" + ref).fadeIn(200); }); $("body").on("click", ".close-cite-living-figure", function(e) { e.preventDefault(); $(this).closest(".popup-window-wrapper").fadeOut(200); }); $(document).on("mouseup", function(e) { var metricsContainer = $(".article-metrics-popover-wrapper"); if (!metricsContainer.is(e.target) && metricsContainer.has(e.target).length === 0) { $(".article-metrics-close-button").click(); } }); var articleId = $('#articleId').val(); if($("#main-article-count-box").attachArticleMetrics) { $("#main-article-count-box").attachArticleMetrics(articleId, { articleMetricsView: true }); } }); var figshareWidget = $(".new_figshare_widget"); if (figshareWidget.length > 0) { window.figshare.load("f1000", function(Widget) { // Select a tag/tags defined in your page. In this tag we will place the widget. _.map(figshareWidget, function(el){ var widget = new Widget({ articleId: $(el).attr("figshare_articleId") //height:300 // this is the height of the viewer part. [Default: 550] }); widget.initialize(); // initialize the widget widget.mount(el); // mount it in a tag that's on your page // this will save the widget on the global scope for later use from // your JS scripts. This line is optional. //window.widget = widget; }); }); } close Error Close Add Reset F1000.MICROSERVICES.AFFILIATION = ''; $(document).ready(function () { $('.js-affiliations-form').each((index, form) => { new AffiliationForm({ formId: form.id, institutionErrorSelector: '.comment-enter-institution', departmentErrorSelector: '.comment-enter-department', placeSelector: '.js-add-comment-place', stateSelector: '.js-add-comment-state', zipCodeSelector: '.js-add-comment-zipcode', countrySelector: '.js-add-comment-country', countryErrorSelector: '.comment-enter-country', }); }); }); $(document).ready(function () { var reportIds = { "424710": 0, "424711": 0, "424709": 0, "429570": 0, "429571": 0, "429568": 0, "429569": 14, "424718": 0, "424716": 0, "424717": 0, "424714": 0, "424715": 0, "424712": 0, "424713": 0, "415774": 0, "415775": 0, "415772": 0, "415773": 0, "415770": 0, "415771": 0, "412455": 0, "415778": 0, "415779": 0, "415776": 0, "415777": 0, "421934": 0, "412462": 0, "419119": 0, "421935": 0, "412463": 0, "412460": 0, "421932": 20, "421933": 0, "412461": 0, "421930": 0, "412458": 0, "421931": 0, "412459": 0, "412456": 0, "412457": 0, "419126": 0, "419127": 0, "419124": 0, "419125": 0, "419122": 0, "421938": 0, "419123": 0, "421939": 0, "419120": 0, "421936": 0, "412464": 0, "419121": 0, "421937": 0, "419128": 0, "472121": 0, "472120": 11, "481623": 0, "481622": 0, "481621": 0, "481620": 0, "481619": 0, "481618": 0, "481617": 0, "481627": 0, "481626": 0, "481625": 0, "481624": 0, "472431": 0, "472430": 0, "472429": 0, "472428": 0, "472427": 0, "472436": 0, "472435": 0, "472434": 0, "472433": 0, "472432": 0, "475799": 0, "475798": 0, "475797": 0, "475796": 0, "475795": 0, "475794": 0, "475793": 0, "475792": 0, "475801": 0, "475800": 0, "473783": 0, "473791": 0, "473790": 0, "473789": 0, "473788": 0, "473787": 0, "473786": 0, "473785": 0, "473784": 0, "473792": 0, "478439": 0, "478437": 0, "478436": 0, "478435": 0, "478434": 0, "478444": 0, "478443": 0, "478442": 0, "478441": 0, "478440": 0, "429566": 0, "429567": 0, "429564": 0, "429565": 0, "429562": 0, "429563": 0, }; $(".referee-response-container,.js-referee-report").each(function(index, el) { var reportId = $(el).attr("data-reportid"), reportCount = reportIds[reportId] || 0; $(el).find(".comments-count-container,.js-referee-report-views").html(reportCount); }); var uuidInput = $("#article_uuid"), oldUUId = uuidInput.val(), newUUId = "81dd6499-1743-4fb7-8b65-a88d2f3a6991"; uuidInput.val(newUUId); $("a[href*='article_uuid=']").each(function(index, el) { var newHref = $(el).attr("href").replace(oldUUId, newUUId); $(el).attr("href", newHref); }); }); An innovative open access publishing platform offering rapid publication and open peer review, whilst supporting data deposition and sharing. Browse Gateways Collections How it Works Contact For Developers Cookie Notice Privacy Notice RSS Submit Your Research Follow us © 2012-2026 F1000 Research Ltd. ISSN 2046-1402 | Legal | Partner of Research4Life • CrossRef • ORCID • FAIRSharing R.templateTests.simpleTemplate = R.template(' $text $text $text $text $text '); R.templateTests.runTests(); var F1000platform = new F1000.Platform({ name: "f1000research", displayName: "F1000Research", hostName: "f1000research.com", id: "1", editorialEmail: "[email protected]", infoEmail: "[email protected]", usePmcStats: true }); $(function(){R.ui.dropdowns('.dropdown-for-authors, .dropdown-for-about, .dropdown-for-myresearch');}); // $(function(){R.ui.dropdowns('.dropdown-for-referees');}); $(document).ready(function () { if ($(".cookie-warning").is(":visible")) { $(".sticky").css("margin-bottom", "35px"); $(".devices").addClass("devices-and-cookie-warning"); } $(".cookie-warning .close-button").click(function (e) { $(".devices").removeClass("devices-and-cookie-warning"); $(".sticky").css("margin-bottom", "0"); }); $("#tweeter-feed .tweet-message").each(function (i, message) { var self = $(message); self.html(linkify(self.html())); }); $(".partner").on("mouseenter mouseleave", function() { $(this).find(".gray-scale, .colour").toggleClass("is-hidden"); }); }); Sign In Remember me Forgotten your password? Sign In Cancel Email or password not correct. Please try again Please wait... $(function(){ // Note: All the setup needs to run against a name attribute and *not* the id due the clonish // nature of facebox... $("a[id=googleSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("GOOGLE"); $("form[id=oAuthForm]").submit(); }); $("a[id=facebookSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("FACEBOOK"); $("form[id=oAuthForm]").submit(); }); $("a[id=orcidSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("ORCID"); $("form[id=oAuthForm]").submit(); }); }); If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password. The email address should be the one you originally registered with F1000. Email address not valid, please try again You registered with F1000 via Google, so we cannot reset your password. To sign in, please click here . If you still need help with your Google account password, please click here . You registered with F1000 via Facebook, so we cannot reset your password. To sign in, please click here . If you still need help with your Facebook account password, please click here . Code not correct, please try again Reset password Cancel Email us for further assistance. Server error, please try again. If your email address is registered with us, we will email you instructions to reset your password. If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance. Please wait... Register $(document).ready(function () { signIn.createSignInAsRow($("#sign-in-form-gfb-popup")); $(".target-field").each(function () { var uris = $(this).val().split("/"); if (uris.pop() === "login") { $(this).val(uris.toString().replace(",","/")); } }); });

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00