A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023)

A cross-sectional analysis of Altmetric... | HRB Open Research 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})(); const cookieDomain = window.location.hostname; const tld = buildTLD(); function buildTLD() { const domainParts = cookieDomain.split('.'); while (domainParts.length > 2) { domainParts.shift(); } return domainParts.join('.'); } function deleteCookie(cookieName) { if (!cookieName) { return; } const cookiePath = (cookieName.startsWith('retraction_warning_') || cookieName.startsWith('version_warning_')) ? '/articles/' + cookieName : '/'; // Yes, these three slightly different ways to try and remove cookies are necessary document.cookie = cookieName + '=; path=' + cookiePath + '; domain=' + cookieDomain + '; expires=Thu, 01 Jan 1970 00:00:01 GMT;'; document.cookie = cookieName + '=; path=' + cookiePath + '; domain=.' + tld + '; expires=Thu, 01 Jan 1970 00:00:01 GMT;'; document.cookie = cookieName + '=; path=' + cookiePath + '; expires=Thu, 01 Jan 1970 00:00:01 GMT;'; } function deleteGroupCookies(group) { if (!group) { return; } const domainData = OneTrust.GetDomainData(), cookies = domainData.Groups.filter(cookieGroup => cookieGroup.OptanonGroupId === group)[0].Cookies; cookies.forEach(cookie => deleteCookie(cookie.Name)); } function OptanonWrapper() { const cookieConsentGroups = []; for (group of OneTrust.GetDomainData().Groups) { cookieConsentGroups.push(group.OptanonGroupId); } OneTrust.OnConsentChanged(function(e) { const cookieConsentActiveGroups = OnetrustActiveGroups.split(',').filter(activeGroup => activeGroup); cookieConsentGroups.forEach(group => { if (!cookieConsentActiveGroups.includes(group)) { deleteGroupCookies(group); }; }); }); } window.jQuery || document.write(' ') CKEDITOR_BASEPATH='https://hrbopenresearch.org/js/vendor/ckeditor/' window.reactTheme = 'HRB'; 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", {}); Skip to content HRB Open Research file_upload Submit your research search clear search menu close clear Search Browse Gateways & Collections How to Publish Submit your Research My Submissions Article Guidelines Article Guidelines (New Versions) Data Guidelines Prepublication Checks Production Process Article Processing Charges Finding Article Reviewers About How it Works For Reviewers National Steering Group Policies Glossary FAQs Contact Blog My Account 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://hrbopenresearch.org/articles/8-58" }, "headline": "A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations...", "datePublished": "2025-05-02T12:41:18", "dateModified": "2025-05-02T12:41:18", "author": [ { "@type": "Person", "name": "Melissa K.Sharp" }, { "@type": "Person", "name": "Shaimaa Abuhaimed" }, { "@type": "Person", "name": "Beatrice Yeoh" }, { "@type": "Person", "name": "Patricia Logullo" }, { "@type": "Person", "name": "Fiona Boland" }, { "@type": "Person", "name": "Padraig Murphy" }, { "@type": "Person", "name": "Sara Burke" }, { "@type": "Person", "name": "Máirín Ryan" }, { "@type": "Person", "name": "Barbara Clyne" } ], "publisher": { "@type": "Organization", "name": "HRB Open Research", "logo": { "@type": "ImageObject", "url": "https://hrbopenresearch.org/img/AMP/HRB_image.png", "height": 566, "width": 60 } }, "image": { "@type": "ImageObject", "url": "https://hrbopenresearch.org/img/AMP/HRB_image.png", "height": 1200, "width": 127 }, "description": " Background Altmetric is the largest platform for tracking online attention given to research outputs such as scientific articles. Alt(ernative) metrics provide a broader and more immediate overview of research’s impact than traditional bibliometrics. We aimed to investigate the impact of health research outputs associated with Irish organisations, exploring the amount, type (medium), and trends of Altmetric coverage. Methods We used Altmetric institutional access and the Research Organisation Registry database to search 663 Irish research organisations for their health-related research outputs (1 January 2017 – 31 December 2023). We deduplicated and filtered outputs to include those related to at least one field of health research (established in our protocol). The OpenAlex API gathered additional bibliometric data. We used R (version 4.3.2) for descriptive analyses of bibliometrics (e.g., journal, open access status, etc.) and plotted yearly data. Zero-inflated negative binomial regression was used to test for relationships between Altmetric Attention Score (AAS) and traditional article-level citations. Results There were 58,056 unique health-related outputs from 303 Irish research organisations, most coming from the education (67.2%) and healthcare (23.8%) sectors. Outputs increased in 2020, peaking in 2021. Open access steadily increased over time. The most popular medium for dissemination was Twitter/X (mean: 21.98 per output), followed by news (1.38), Facebook (.31), and blogs (.18). The average AAS was 21.16 (median: 4). One in five outputs received a 0 AAS. Conclusions This work establishes publishing and Altmetric trends in recent years on a large dataset of research outputs associated with Irish research organisations. Attention varied amongst mediums and while the average AAS was above 20 (considered as doing better than its contemporaries), many outputs receiving no attention from tracked mediums. Improved understanding of engagement with the Irish health research landscape can help researchers better navigate their locality and identify pathways for more effective public communication. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://hrbopenresearch.org/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://hrbopenresearch.org/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://hrbopenresearch.org/articles/8-58/v1", "name": "A cross-sectional analysis of Altmetric coverage of health research..." } } ] } Home Browse A cross-sectional analysis of Altmetric coverage of health research... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article K.Sharp M, Abuhaimed S, Yeoh B et al. A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.12688/hrbopenres.14121.1 ) 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 cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] Melissa K.Sharp https://orcid.org/0000-0001-5261-1573 1 , Shaimaa Abuhaimed 2 , Beatrice Yeoh 2 , [...] Patricia Logullo 3 , Fiona Boland https://orcid.org/0000-0003-3228-0046 1 , Padraig Murphy https://orcid.org/0000-0001-6268-6579 4 , Sara Burke https://orcid.org/0000-0001-9419-1642 5 , Máirín Ryan 6,7 , Barbara Clyne 1 Melissa K.Sharp https://orcid.org/0000-0001-5261-1573 1 , Shaimaa Abuhaimed 2 , [...] Beatrice Yeoh 2 , Patricia Logullo 3 , Fiona Boland https://orcid.org/0000-0003-3228-0046 1 , Padraig Murphy https://orcid.org/0000-0001-6268-6579 4 , Sara Burke https://orcid.org/0000-0001-9419-1642 5 , Máirín Ryan 6,7 , Barbara Clyne 1 PUBLISHED 02 May 2025 Author details Author details 1 Department of Public Health and Epidemiology, RCSI University of Medicine and Health Sciences, Dublin, Ireland 2 School of Medicine, RCSI University of Medicine and Health Sciences, Dublin, Ireland 3 Centre for Statistics in Medicine and EQUATOR Network UK Centre, University of Oxford, Oxford, England, UK 4 Dublin City University School of Communications, Dublin, Leinster, Ireland 5 Centre for Health Policy and Management, Discipline of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland 6 Department of Pharmacology & Therapeutics, Trinity College Dublin Trinity Health Sciences, Dublin, Ireland 7 Health Information and Quality Authority, Dublin 7, Ireland Melissa K.Sharp Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Shaimaa Abuhaimed Roles: Data Curation, Investigation, Writing – Review & Editing Beatrice Yeoh Roles: Data Curation, Investigation, Writing – Review & Editing Patricia Logullo Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Fiona Boland Roles: Methodology, Supervision, Writing – Review & Editing Padraig Murphy Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Sara Burke Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Máirín Ryan Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Barbara Clyne Roles: Conceptualization, Funding Acquisition, Methodology, Supervision, Writing – Review & Editing OPEN PEER REVIEW DETAILS REVIEWER STATUS Abstract Background Altmetric is the largest platform for tracking online attention given to research outputs such as scientific articles. Alt(ernative) metrics provide a broader and more immediate overview of research’s impact than traditional bibliometrics. We aimed to investigate the impact of health research outputs associated with Irish organisations, exploring the amount, type (medium), and trends of Altmetric coverage. Methods We used Altmetric institutional access and the Research Organisation Registry database to search 663 Irish research organisations for their health-related research outputs (1 January 2017 – 31 December 2023). We deduplicated and filtered outputs to include those related to at least one field of health research (established in our protocol). The OpenAlex API gathered additional bibliometric data. We used R (version 4.3.2) for descriptive analyses of bibliometrics (e.g., journal, open access status, etc.) and plotted yearly data. Zero-inflated negative binomial regression was used to test for relationships between Altmetric Attention Score (AAS) and traditional article-level citations. Results There were 58,056 unique health-related outputs from 303 Irish research organisations, most coming from the education (67.2%) and healthcare (23.8%) sectors. Outputs increased in 2020, peaking in 2021. Open access steadily increased over time. The most popular medium for dissemination was Twitter/X (mean: 21.98 per output), followed by news (1.38), Facebook (.31), and blogs (.18). The average AAS was 21.16 (median: 4). One in five outputs received a 0 AAS. Conclusions This work establishes publishing and Altmetric trends in recent years on a large dataset of research outputs associated with Irish research organisations. Attention varied amongst mediums and while the average AAS was above 20 (considered as doing better than its contemporaries), many outputs receiving no attention from tracked mediums. Improved understanding of engagement with the Irish health research landscape can help researchers better navigate their locality and identify pathways for more effective public communication. READ ALL READ LESS Keywords Altmetric, science communication, media coverage, knowledge dissemination, bibliometrics, Research Performing Organisation Corresponding Author(s) Melissa K.Sharp ( [email protected] ) Close Corresponding author: Melissa K.Sharp Competing interests: No competing interests were disclosed. Grant information: Health Research Board Ireland [ARPP-2023-010]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2025 K.Sharp M 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: K.Sharp M, Abuhaimed S, Yeoh B et al. A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.12688/hrbopenres.14121.1 ) First published: 02 May 2025, 8 :58 ( https://doi.org/10.12688/hrbopenres.14121.1 ) Latest published: 02 May 2025, 8 :58 ( https://doi.org/10.12688/hrbopenres.14121.1 ) Introduction The past decade has seen shifts towards more holistic assessments of research impact beyond traditional citation counts. Citation counts have been shown to be poor predictors of quality and citation-based impact metrics are largely focused on other academics, with citations generally taking a long time to accrue due to the nature of academic publishing 1 , 2 . To provide a broader and more immediate overview of impact, alternative metrics or altmetrics have been proposed as a complimentary measure to traditional bibliometrics like citation counts 3 , 4 . Altmetric 5 , 6 is the leading platform for tracking altmetrics or the online attention given to research outputs like scientific articles, books, and chapters. Altmetric uses a research output’s unique identifier (e.g., Direct Object Identifier, DOI) to help track coverage on social media networks such as Facebook, X (formerly Twitter), BlueSky, Reddit, YouTube, 4,000 global news outlets, policy documents, Wikipedia, blogs, Mendeley and more 7 . Altmetric creates an weighted amalgamated ‘Altmetric Attention Score’ (AAS) 8 which has been shown to be associated with citation counts 3 , 9 and journal impact factor 10 . The AAS is automatically calculated and is based on three main factors: volume which increases the AAS as more people mention it, sources which weighs something like a blog post higher than a tweet, and authors which accounts for audience or biases 8 . This attention score has also been shown to be significantly higher for coronavirus disease (COVID-19) related articles than for non-COVID-19 articles in 2020 11 . Although there are concerns about some confusing a high AAS with a high-quality piece of research 12 , it remains a common measure of attention 3 . Monitoring alternative metrics can help us understand the broader social, cultural, or economic impact that a research output can have -- far beyond typical academic circles. Coverage of research findings in the news and online has been shown to influence the public’s behaviour and perceptions of risk 13 – 16 . Despite the increasing globalisation of the news, countries still have their own unique landscapes, both in terms of governance and health systems structures and differences in demographics, audience engagement, and trust in news sources 17 , 18 . Understanding one’s local landscape can help researchers reflect upon the impact of their own work, identify more effective communication strategies 19 , and perhaps identify potential collaborators. In recent years, in common with other countries, Ireland has emphasised the importance of research dissemination and engagement being more aligned with implementation. To encourage this, Ireland has heavily investing in health research and healthcare reforms with its Health Service Executive Action Plan for Health Research (2019–2029) 20 , Sláintecare reform (initially launched in 2017) 21 , 22 , and Irish Research e-Library (IReL) open access publishing agreements (first signed in 2020) 23 . Within the context of healthcare and research reform and the COVID-19 pandemic, we aimed to map a piece of the complex local landscape of research in Ireland, using a cross-sectional analysis of Altmetric data (2017 – 2023) from health research outputs associated with Irish organisations and see how it has evolved since before, during, and after the COVID-19 pandemic. Our main research questions are: how did the amount of research outputs change over time, specifically how the presence of different topics fluctuated; how the differences in Altmetric coverage of research outputs changed during this period; and was there a relationship between the Altmetric data (as indicated by the Altmetric Attention Score) and citation data. Methods Study design, setting, and eligibility We previously published this project’s protocol which provides more detail about the Altmetric dataset and planned analyses 24 . We used Altmetric to search for all research outputs (i.e., articles, book, and chapters) published between 1 January 2017 and 31 December 2023 that were associated with an Irish research organisation. This period was chosen to give insight into pre-, during and ‘post’- pandemic trends and to allow for a time-buffer for retrieving data (due to instability concerns). Associations were determined from an author’s affiliation listed as being attached to an Irish research organisation. Of note, order of authorship (e.g., first or senior) was not extracted, thus this is Irish-engaged research not necessarily Irish-led. Data on attention scores from all Irish health research outputs were obtained using an institutional license for Altmetric Explorer, thus we are unable to share the datasets; however, the .rmd files and non-proprietary datasets are available on the Open Science Framework 25 . We used R version 4.3.2 ( https://posit.co/download/rstudio-desktop/ ) to analyse data for this project. We are reporting this cross-sectional study according to the STROBE reporting guideline (Appendix 1) 26 . As data is publicly available, no ethical approval nor consent was needed for this study. Datasets Altmetric currently uses the Global Research Identifier Database (GRID) ID 27 to identify organisations and maps to the current Research Organisation Registry (ROR) ID system 28 . ROR is a global registry which helps link researchers and their outputs to the research organisations where they work. As of 13 May 2024, there were 663 Irish research organisations listed in the ROR database. These organisations spanned multiple sectors including: Archive, Company, Education, Facility, Government, Healthcare, Nonprofit, or Other. Three authors (BY, SA, MKS) accessed Altmetric Explorer to manually download comma-separated values (csv) files from June 6 – June 21 2024. Of the 663 listed organisations, 251 had no research outputs during our inclusion dates and 31 organisations were not or no longer indexed in Altmetric – leaving us with an initial dataset including research outputs associated with 381 Irish research organisations. As we were only interested in ‘health research’, we filtered our dataset to only include biomedical research outputs. To identify these outputs we used the 2020 Australian and New Zealand Standard Research Classification (ANZSRC) system’s Field of Research divisions relating to biomedical research 29 . Altmetric uses the ANZSRC system to classify outputs. The following five divisions were used: Biological Sciences (31), Biomedical and Clinical Sciences (32), Chemical Sciences (34), Health Sciences (42), and Psychology (52). Excluded fields are listed in our protocol 24 . ANZSRC contains divisions (broad subject areas or research disciplines) which are further delineated into groups and fields. Each research output is classified to ≥1 division — where an output cannot be classified at this level, the division assignment is based on a journal-level classification. We included research outputs if they belonged to ≥1 of the five divisions listed above. After filtering and deduplicating our dataset, we retrieved additional citation and topic area information from the OpenAlex API 30 – 34 which matched items based on their DOI. OpenAlex is an open-source catalogue which has average reference numbers comparable to Web of Science and Scopus 32 . OpenAlex contains over 4,500 topics which are organised in a hierarchy containing domain, field, and subfield. These correspond to the categories used by Scopus’s ASJC system, except that they are applied at the level of ‘works’, rather than at the journal level. Analysis As established in our protocol 24 , we performed descriptive analyses (counts and frequencies) for the following bibliometric information: type of research output (i.e., journal article, book, chapter), open access status and type 35 , sector prominence, five subject divisions and their subdivisions, and 20 most frequent journals, funders, and organisations. To investigate trends, we plotted the overall number of outputs, subjects, subdivision areas, sectors, and publishers on a yearly basis. When attempting to plot data on a daily and quarterly basis, we discovered indexing errors where 1 January of every year was overrepresented in the dataset. After contacting Altmetric support, we were notified that when a publication does not include a complete publication date, the Altmetric system automatically fills in the missing information with ‘01’, creating January 1st if both the month and day are not specified. We also tried to address date issues by pulling publication dates from OpenAlex API but there were more incorrectly indexed items (e.g., showing years prior to 2017). For this reason, we deviated from our protocol and chose not to conduct any analyses as daily or quarterly. We also did not use the yearly OpenAlex prespecified topics and concepts due to resource constraints although the data is available on the Open Science Framework 25 . For Altmetric analyses, we calculated the overall and yearly averages and medians for the AAS and per medium (e.g., X, Facebook, policy documents). We also performed several subset analyses. Firstly, a subset analysis of the outputs with a score of ≥20 as Altmetric has indicated that this score can generally be considered as receiving more attention than most of its ‘colleagues.’ Secondly, we removed outputs with an AAS score of 0 to see how measures of central tendency could be affected. Next, we calculated the average and median AAS and per medium for a subset of items only on pre-print servers. These subgroup analyses were to highlight differences between ‘under-performers’, ‘over-performers’, and pre-prints, which rose in prominence during the pandemic. Finally, as outlined in the published protocol 24 , we split our dataset by year and performed citation analyses on a subset of the data (2017–2020) as previous research has indicated that a 3-year citation window is relatively stable (e.g., the increasing trend generally stagnates) 36 , 37 . To investigate whether there was an association between AAS and traditional article-level citation metrics (as measured by both Altmetric Dimensions and OpenAlex) and open access status, we used zero-inflated negative binomial regression models to account for the large number of AAS scores of zero in our dataset. The zero-inflated model contains two parts: 1) a binary model to model the excess zeros and 2) a count model for the count process. Ignoring the zero-inflation component for these metrics could potentially lead to incorrect conclusions. A low probability of excess zeros indicates that almost all zeros in the AAS are adequately explained by the count process, and not due to a separate zero-generating mechanism. Results Descriptive statistics Of the listed 663 Irish research organisations, 381 (Appendix 2) had 135,855 research outputs within our time period with 100,016 being unique. After filtering and deduplicating research outputs to only include those which belonged to at least one of our included areas of health research 24 , there were 58,056 unique-health related research outputs associated with 303 research organisations ( Figure 1 ). Figure 1. Search flow diagram. There was an increase in the number of outputs from 2017 to 2020 with a steep incline from 2019 to 2020 (23%), and an increasing trend continuing into 2021 (8.7%). After 2021, the number of outputs declined but it has not returned to pre-pandemic (2019) levels. ( Figure 2 ) An overwhelming majority of research outputs were articles (96.6%), with much less being chapters (3.34%) or books (<1%). A majority of outputs were available as open access (73.2%) with general increases over time, although rates in 2021 (78%) and 2022 (79%) were higher than 2023 (76%) ( Figure 3 ). Closed access has decreased over time although it still represents roughly 1 in 5 outputs in the dataset. Open access (OA) can be classified by Altmetric 35 in several ways: 1) hybrid is freely available under an open licence in a paid-access journal, 2) green is freely available in an OA repository, 3) gold is published in a fully open access journal, 4) bronze is freely available on publisher’s website, but without an open licence. Hybrid and gold access have increased over time while green open access has remained relatively stable and bronze has decreased over time. Figure 2. Research outputs over time (yearly). Figure 3. Open Access (OA) status and type over time (yearly). The sectors most represented were education (67.2%) and healthcare (23.8%) with the others being far less prominent: facilities (4.6%), government (1.4%), other (1.1%) and less than 1% for companies, non-profits, and archive organisations. Accordingly, the organisations with the most research outputs in our dataset were predominately education (i.e., universities) and healthcare organisations. ( Table 1 ) There was a lot of cross-sectoral collaboration, with every sector collaborating at least once. The highest number of collaborations took place between education-healthcare, education-facility, facility-healthcare, and education-government organisations. (Appendix 3, Tables 1–2, Figure 1) Table 1. Twenty most frequent organisations in the dataset and their number of health-related research outputs. Number of Research Outputs Organisation 12992 12571 7623 6751 6410 4695 2968 2577 2302 2176 2063 1759 1597 1568 1493 1414 1319 1173 1093 676 University College Dublin Trinity College Dublin University College Cork Royal College of Surgeons in Ireland [RCSI University of Medicine and Health Sciences] University of Galway [NUI Galway] University of Limerick St. James's Hospital St. Vincent's University Hospital Beaumont Hospital Mater Misericordiae University Hospital Dublin City University National University of Ireland (NUI) NUI Maynooth Teagasc - The Irish Agriculture and Food Development Authority Cork University Hospital University Hospital Galway Tallaght (University) Hospital Children's Health Ireland at Crumlin Technological University Dublin Health Service Executive Of the five included ANZSRC Fields of Research (Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology), Biomedical and Clinical Sciences was the most prominent ( n = 33,060, 57%) , however this category does have more (16) subdivisions than the others (6–10). Generally, there was not much fluctuation over the years. The five most frequent divisions were: clinical sciences (20.7%), health services and systems (9.7%), oncology and carcinogenesis (5.1%), public health (4.3%), and biochemistry and cell biology (3.5%) ( Table 2 ). Of the clinical sciences outputs, 44% were from the generic clinical sciences subdivision, with oncology and carcinogenesis (10.8%), cardiovascular medicine and haematology (6.1%), reproductive medicine (5.7%), immunology (4.7%), and pharmacology and pharmaceutical sciences (4.7%) rounding out the top 5 specific clinical areas. (Appendix 3, Figures 2–4, Table 3–4) Table 2. Ten most prevalent Field of Research subjects over time (yearly). Field of Research Subjects (code) 2017 2018 2019 2020 2021 2022 2023 Total % Clinical sciences (3202) 1780 1807 1898 2503 2718 2462 2354 15522 20.7 Health services and systems (4203) 715 788 892 1062 1343 1259 1236 7295 9.7 Oncology and carcinogenesis (3211) 467 487 441 555 680 638 555 3823 5.1 Public health (4206) 272 393 412 494 582 570 513 3236 4.3 Biochemistry and cell biology (3101) 323 352 348 383 404 392 416 2618 3.5 Microbiology (3107) 300 286 335 404 418 391 410 2544 3.4 Cardiovascular medicine and haematology (3201) 217 236 281 326 389 349 341 2139 2.9 Biological psychology (5202) 258 283 261 354 342 299 294 2091 2.8 Nursing (4205) 215 233 254 273 360 357 319 2011 2.7 Reproductive medicine (3215) 231 278 266 324 339 298 266 2002 2.7 The 20 most frequent publishers in the dataset align with the largest publishers globally (e.g., Elsevier, Springer, Wiley) which did not show much yearly variation (remaining in the top 20), however MDPI and Frontiers became much more prominent over time. (Appendix 3, Figures 5–6) When investigating the most prevalent journals in the dataset, it became clear that Altmetric makes no distinction nor linkage between a pre-print and a post-print as both are classified as articles with separate DOIs. Pre-print servers (i.e., platforms that only host pre-prints and not peer-reviewed post-prints) and hybrid publishing platforms (i.e., platforms that post a pre-print, conduct open peer review, and publish a final indexed version such as HRB Open Research and F1000) were all within the 20 most frequently reported journals in the dataset. (Appendix 3, Figure 7) Upon investigating known preprint servers (i.e., bioRxiv, ChemRxiv, medRxiv, and Research Square) and hybrid open-access publishing platforms (i.e., Gates Open Research, F1000 Open Research, HRB Open Research, and Wellcome Open Research), from our entire dataset (n = 58,056), there were 2,299 preprints from any of the major preprint servers and 528 (411 unique) items on the hybrid platforms. This represents less than 5% of our dataset. Of note, each output has a unique AAS (i.e., a pre-print and a post-print discussing the same research project could have a different AAS), so we did not exclude them from analyses. Prominent Irish and European funding agencies were well represented in the top 20 funders amongst 1,959 unique funders in our dataset ( Table 3 ). Table 3. Twenty most frequently referenced funders. Affiliated Research Outputs Funder 7851 6941 3744 3090 2236 1925 1835 1773 1503 889 834 763 747 674 640 622 608 605 582 548 Science Foundation Ireland European Commission Health Research Board Irish Research Council Medical Research Council Wellcome Trust European Research Council Department of Health and Social Care National Institute for Health and Care Research (NICE), UK Deutsche Forschungsgemeinschaft National Natural Science Foundation of China National Cancer Institute, Bethesda, United States Biotechnology and Biological Sciences Research Council National Health and Medical Research Council Ministry of Economy, Industry, and Competitiveness Canadian Institutes of Health Research National Institute on Aging Enterprise Ireland National Hearth Lung and Blood Institute Higher Education Authority Altmetric attention Of the 58,056 unique-health related research outputs in our dataset, 10,917 (18.8%) had an AAS of 0, meaning that no sources covered them. ( Table 4 , Table 5 ) There were also no Mendeley readers for 1,754 of these outputs indicating that they received no academic nor public attention from the Altmetric-tracked sources. 9,054 outputs (15.6%) had an AAS of 20 or above (considered as doing better than most of its contemporaries) 38 . Outputs which were on pre-print servers had the lowest AAS, average mentions, and citations. Table 4. Average (SD) citation metrics per dataset, Field of Research, and year. Citation metrics Mendeley Dimensions Citations OpenAlex Citations * Average (SD) Average (SD) Average (SD) Datasets Fully de-duplicated (n = 58,056) 48.0 (106.0) 21.9 (79.1) 26.2 (94.8) 0 AAS removed (n= 47,139) 55.0 (115.2) 25.4 (87.0) 30.4 (104.4) >20 only (n= 9,054) 125.8 (221.6) 67.3 (180.2) 80.7 (216.8) Only on pre-print servers (n = 2,299) 5.4 (23.7) 2.6 (8.5) 3.1 (9.3) Years 2017 (n = 6,646) 79.3 (143.4) 41.2 (111.5) 46.6 (127.2) 2018 (n = 7,109) 72.3 (140.4) 37.1 (134.1) 42.2 (151.1) 2019 (n = 7,402) 62.3 (109.2) 28.9 (76.2) 33.7 (99.5) 2020 (n = 9,132) 61.3 (138.5) 26.9 (88.7) 32.2 (116.3) 2021 (n = 9,929) 40.4 (73.8) 17.1 (46.8) 20.9 (56.6) 2022 (n = 9,104) 23.5 (49.2) 8.4 (24.2) 11.6 (33.2) 2023 (n = 8,734) 12.5 (23.2) 3.5 (11.3) 6.2 (17.9) Fields of Research Biological Sciences (n=10,792) 51.2 (132.8) 27.6 (116.8) 32.7 (135.0) Biomedical/Clinical Sciences (n = 33.060) 46.7 (107.2) 22.5 (76.6) 26.9 (94.6) Chemical Sciences (n = 5,131) 31.2 (60.6) 22.5 (52.6) 25.7 (58.8) Health Sciences (n = 14,283) 55.8 (29.0) 16.2 (61.1) 20.0 (74.8) Psychology (n = 5,733) 57.1 (107.9) 21.1 (56.9) 25.6 (68.1) *OpenAlex citation data was pulled on 6 December 2024. SD: standard deviation. Table 5. Altmetric Attention Score (AAS) and medium average(SD) per dataset, Field of Research, and year. Sources of Attention * AAS Blogs Facebook News Patent Policy Reddit Video Wikipedia Twitter/X avg(SD) avg(SD) avg(SD) avg(SD) avg(SD) avg(SD) avg(SD) avg(SD) avg(SD) avg(SD) Datasets Fully de-duplicated (n = 58,056) 21.16 (113.97) .18(1.19) .31(1.63) 1.38(11.80) .04(.62) .07(.57) .03(.31) .03(.47) .11(5.26) 21.98(169.96) 0 AAS removed (n= 47,139) 26.06(125.97) .22(1.32) .38(1.80) 1.70(13.08) .05(.69) .09(.64) 0.04(.35) .03(.53) .13(5.83) 27.07(188.25) >20 only (n= 9,054) 111.95(270.92) .92(2.87) 1.33(3.80) 8.52(28.84) .11(1.04) .26(1.26) .14(.69) .15(1.18) .54(13.28) 107.66(419.71) On pre-print servers (n = 2,299) 13.97(67.53) .13(.67) .06(.40) .35(4.41) .01(.12) .02(.26) 0(0) .02(.34) .08(1.04) 21.32(92.77) Years 2017 (n = 6,646) 17.54(72.08) .20(.99) .67(3.00) 1.20(8.15) .12(1.18) .12(.70) .02(.20) .04(.69) .14(1.27) 15.02(58.30) 2018 (n = 7,109) 20.61(90.95) .21(1.03) .50(2.35) 1.31(0) .09(0) .11(.59) .02(.21) .05(.84) .15(1.93) 20.08(86.55) 2019 (n = 7,402) 19.37(92.45) .15(.82) .39(1.89) 1.15(9.34) .05(.53) .08(.61) .03(.27) .03(.37) .12(2.20) 20.37(84.08) 2020 (n = 9,132) 24.67(128.69) .22(1.95) .27(1.13) 1.48(11.74) .04(.42) .10(.83) .04(.36) .03(.48) .10(1.63) 27.93(209.07) 2021 (n = 9,929) 22.44(135.14) .17(1.42) .18(.80) 1.43(12.39) .02(.22) .07(.58) .03(.36) .02(.26) .06(.56) 24.98(219.34) 2022 (n = 9,104) 22.03(118.52) .15(.74) .16(.75) 1.59(13.92) .01(.15) .03(.28) .04(.35) .02(.29) .18(12.85) 22.27(163.85) 2023 (n = 8,734) 19.83(125.15) .14(.68) .15(.69) 1.37(14.10) 0(.07) .01(.19) .03(.33) .01(.18) .03(.33) 20.26(221.09) Fields of Research Biological Sciences (n=10,792) 28.37(142.91) .32(2.02) .33(1.40) 1.91(13.43) .08(1.04) .04(.40) .05(.42) .03(.33) .38(12.15) 27.35(225.16) Biomedical/Clinical Sciences (n=33,060) 21.65(118.48) .15(.80) .36(1.87) 1.48(12.81) .04(.62) .07(.59) .03(.28) .03(.48) .05(.48) 22.62(4) Chemical Sciences (n=5,131) 5.85(24.58) .04(.31) .06(.33) .27(.24) .07(.57) .01(.14) .02(.30) .01(.25) .03(.31) 6.08(26.66) Health Sciences (n=14,283) 23.30(129.60) .17(1.25) .37(2.34) 1.31(12.79) .01(.28) .13(.77) .03(.32) .03(.60) .04(.39) 27.15(228.23) Psychology (n=5,733) 23.79(97.03) .24(.93) .32(1.77) 1.46(9.59) .01(.13) .06(.44) .05(.36) .02(.19) .07(.63) 22.88(98.01) Footnotes: LinkedIn (no access post-2016), Pinterest, syllabi, and Weibo had 0 mentions in our entire dataset so they are not presented here. Google+, Weibo, and Pinterest are historical sources and they no longer supply an open feed. *All metrics with all averages <.03 are not shown here (F1000, Q.A., Peer Review). Additional metrics are available in supplemental files. Avg: average; SD: standard deviation. The average AAS for the entire dataset was 21.16 with Twitter (X) being the largest medium ( n = 1,276,135) represented by far with an average of 21.98 mentions per output. (Appendix 3, Figure 10) The average mentions for the other outputs were much smaller in comparison: 1.38 for news sources (n = 79,964), .31 for Facebook (17,879), .18 for blogs (n = 10,245), .11 Wikipedia (n = 6,278), .07 for policy documents (n = 4,078), and .04 for patents (n = 2,423) (Appendix 3, Figure 9). The average AAS was highest for 2020 (24.7) (Appendix 3, Figure 11) and for outputs in the Biological Sciences Field of Research (28.37). Chemical Sciences had the lowest average AAS as well as average mentions for most mediums. There were some yearly trends for certain mediums with Facebook averages decreasing from 2019 onwards and Twitter peaking in 2020 then decreasing back towards pre-pandemic averages. Higher patent and policy averages were seen in 2017–2019 than in recent years. Other slower-to-accumulate metrics such as citations and Mendeley readers showed yearly variations as well with higher averages for the oldest years in the dataset. Table 5 data obtained from Altmetrics (Dimensions) and the Open Alex API varied slightly but generally aligned. There were many skewed distributions so additional metrics (i.e., medians and IQRs are available in Appendix 4). We found positive statistically significant associations between the Number of Dimensions citations, OpenAlex citations, and Mendeley readers with the AAS for the dataset (2017 – 2020) and yearly subsets. (Appendix 3, Table 5) As the number of citations increased, the average AAS tended to increase, although the overall effect size was small (a 1–1.5% increase per citation). There were no overall trends for the zero-inflation models. Open access was also found to have a strong positive association with AAS. There was some yearly variation with 2020 showing the largest effect size (1.12), meaning open access articles in 2020 had a larger relative increase in AAS compared to previous years. Discussion We investigated the attention obtained by Irish research organisations conducting a detailed, thorough, and innovative evaluation. Aligned with global trends 39 , 40 , we found an influx of research outputs and attention during the COVID-19 pandemic and an increase in open access over time 41 , 42 . More locally, we established the top funders, publishers, and organisations involved with Irish health research outputs which may be helpful for researchers. Furthermore, we demonstrated trends of changing attention on mediums, and highlighted differences in attention and potentially wider engagement based on research fields and disciplines. While of obvious interest to Irish researchers and organisations, this project also provides a case example with methods and key learnings which can potentially be reproduced in other comparable regions. Firstly, our region’s results are aligned with international findings indicating a tsunami of research articles during the COVID-19 pandemic 39 , 40 . We found a large increase in outputs from 2019 through 2021, with the influx receding in 2022 and 2023. These increases are reflective of the broader publishing system which experienced growth patterns during the peak of the COVID-19 pandemic which were different from ‘normal’ times — on average publications increase 4% per year 43 but previous work showed a growth of 846% from May 31st 2020 until May 31st 2021 41 . We also observed an increase in open access outputs over time and, similar to previous research, a positive impact on AAS 42 and a stronger future for gold open access over green 41 . This shows promising impact for Ireland’s recent investment in open access publishing agreements, (IReL) which were signed in 2020. Increased access could also improve the general public’s access to engagement and interest in research 44 . Unlike other previous research, however, we did not observe that time lapsed since publication was connected with Altmetric scores as the highest average AAS was in 2020 and 2021. However we did observe an accumulation of Mendeley readers over time 10 and some medium or formats (e.g., policy documents and patents) seem to take some time to accrue. In our dataset, the most popular medium for dissemination was Twitter (X) (x̄: 21.98 per output), followed by news (1.38), Facebook (.31), and blogs (.18) with Facebook and blogs showing decreases in recent years. Paired with the academic exodus from X 45 and Altmetric’s lack of tracking for mediums such as LinkedIn, Instagram and TikTok there may be ramifications for the AAS as a whole 46 . However, as of December 2024, BlueSky is emerging as a new popular medium for academic researchers and it is now being tracked by Altmetric 47 , 48 . Future analyses with data from 2024 onwards may show much different results to ours as the media landscape changes. In addition to the concern regarding which medium is most appropriate for dissemination, researchers must be aware that their work may be of much less interest to certain audiences. In our dataset one in five outputs received an AAS of 0 – whether this is due to researcher’s simply not publicising their work or genuine disinterest or disengagement with platform users, it obliges researchers to go beyond the standard media platforms for dissemination and to creatively reach the “unengaged”. We did find much lower AAS for the chemical sciences which could be considered more technical in nature, whereas biological sciences and popular ANZSRC categories about clinical science like ‘oncology and carcinogenesis’ and ‘reproductive medicine’ might be more relatable. The large prevalence of outputs from the education and healthcare sectors is logical given that much of health research is conducted by academics and healthcare professionals. Also of note, many of the healthcare organisations in our top twenty organisations were hospitals with training partnerships with academic institutions. This also aligns with a recent bibliometric analysis 49 of publications supported by Ireland’s funding agency, the Health Research Board, which found the academic sector well-represented. However, output from the government and company sectors were quite low in our dataset which may be surprising given Ireland’s status as the Silicon Valley of Europe 50 . This may be due in part to the nature of the Altmetric data which, similar to other databases like the Web of Science, has coverage issues 51 and that obtaining a DOI costs money which government agencies may avoid as they can it is an additional cost and they can simply upload reports and files to their own websites. Limitations The main limitations of our study concern the content and quality of our datasets which should be considered when interpreting the data. For Altmetric data, we found some stability and quality issues which should be considered for future analyses of Altmetric data. Stability issues have been documented previously by work investigating research from 2012 to 2021 which found vanishing mentions, 23.7% of publications with AAS fluctuations over a year, and nearly 30% of papers showing high volatility for Twitter (X) 52 . We downloaded Altmetric data in one time period to reduce instability but unfortunately due to license and access issues, we were unable to use the API to obtain the Altmetric data by ROR. Due to loss of licensing access, we could not update the data to include 2024 in our dataset. However, we included a range of years and a time buffer as previous research has indicated that Altmetric mentions accrue for a longer period than previously believed 53 . Our code can help inform future analyses investigating how stable the AAS and mediums are over time. Due to indexing issues with publication dates, we were also unable to run analyses with more granular detail (quarterly and daily). When a publication does not include a complete publication date, the Altmetric system automatically fills in the missing information with “01”, creating 1 January when both the month and day are not specified. We attempted to pull in the publication date data from the OpenAlex API to address this but found further issues with years incorrectly outside of our range. In fact, OpenAlex notes that filtering by publication date is ‘not a reliable way to retrieve recently updated and created works, due to the way publishers assign publication dates’ 54 . We also found that pre-print servers (e.g., medRxiv) were well-represented in the top ‘journals’ in our dataset and it has previously been reported that Altmetric has issues tracking publications with multiple versions (i.e., a pre- and post-print) 55 . We decided to keep pre-prints in our dataset and treat them as unique outputs as each has its own AAS and previous research has indicated that while COVID-19-related articles were more likely to have a preprint, the presence of a preprint does not seem to affect AAS 56 . In addition to debates around stability and quality, there are also many critiques of the AAS and its reproducibility issues and how it weights different sources of attention 57 , 58 . For example, Christin et al. 59 encourage researchers to observe different social media logics in healthcare, such as informing or raising awareness for well-being, creating public debate or curating wider partnership-based engagement. The AAS is weighted to favour traditional posts over social media but the prominence of Twitter (X) in our dataset raises concerns about potential overweighting and focus on academic impact as research has indicated that tweets mostly originated from within academia which engaged other academics 60 . Lastly, Altmetric does not track other mediums or platforms which are popular in Ireland such as TikTok and Instagram 18 . Implications This work establishes publishing and Altmetric trends in recent years on a large dataset of research outputs associated with Irish research organisations. For researchers, it details key sources of funding, popular publishers and organisations, changing trends in pre-print usage, and medium differences which can inform their dissemination plans. For scientometric researchers in particular, it stresses lingering stability and accessibility concerns with alt- and biblio-metrics which should inform future work. OpenAlex datasets of all included DOIs and code used for this project are available open source. Ethics and consent Ethical approval and consent were not required. Data availability As data was gathered using an institutional license for Altmetric Explorer, we cannot provide the original datasets as they are proprietary. However, using the OpenAlex API, we pulled bibliometric information from all included DOIs. To promote reproducible research practices, our R Markdown (.rmd) files and non-proprietary datasets (i.e., OpenAlex data) are available on Open Science Framework. OpenAlex data is licensed as CC0 so it is free to use and distribute. All other available data for the project is available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0) 25 . Underlying data Open Science Framework: [Optimising the dissemination of health research in Ireland]. https://doi.org/10.17605/OSF.IO/KFCT6 25 The project contains the following underlying data: • [ OpenAlex_IE_2017.csv] (Open Alex outputs from 2017) • [ OpenAlex_IE_2018.csv] (Open Alex outputs from 2018) • [ OpenAlex_IE_2019.csv] (Open Alex outputs from 2019) • [ OpenAlex_IE_2020.csv] (Open Alex outputs from 2020) • [ OpenAlex_IE_2021.csv] (Open Alex outputs from 2021) • [ OpenAlex_IE_2022.csv] (Open Alex outputs from 2022) • [ OpenAlex_IE_2023.csv] (Open Alex outputs from 2023) • [RoRData_MKS.xlsx] (Irish Research Organisation Registry searches) • [IrishResearch_csvapproach.html] (R Markdown code detailing analysis) Extended data Open Science Framework: [Optimising the dissemination of health research in Ireland]. https://doi.org/10.17605/OSF.IO/KFCT6 25 This project contains the following extended data: • Appendix 1. Completed STROBE Checklist • Appendix 2. Irish organisations with research outputs (2017 – 2023) • Appendix 3. Additional tables and figures • Appendix 4. Full Altmetric Table Reporting guidelines Open Science Framework: STROBE checklist for '[A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017–2023)]’. https://doi.org/10.17605/OSF.IO/KFCT6 25 Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Acknowledgements The authors would like to thank the Communications teams at RCSI University of Medicine and Health Sciences and the Health Information and Quality Authority, in particular Paula Curtin and Marty Whelan, for their insights on the media landscape in Ireland and on Altmetric. We would also like to thank steering committee members Prativa Baral and David Robert Grimes for their input on the project protocol. Faculty Opinions recommended References 1. Dougherty MR, Horne Z: Citation counts and journal impact factors do not capture some indicators of research quality in the behavioural and brain sciences. R Soc Open Sci. 2022; 9 (8): 220334. PubMed Abstract | Publisher Full Text | Free Full Text 2. Worrall JL, Cohn EG: Citation data and analysis: limitations and shortcomings. J Contemp Crim Justice. 2023; 39 (3): 327–40. Publisher Full Text 3. Kolahi J, Khazaei S, Iranmanesh P, et al. : Meta-analysis of correlations between Altmetric Attention Score and citations in health sciences. Biomed Res Int. 2021; 2021 : 6680764. PubMed Abstract | Publisher Full Text | Free Full Text 4. Peterson CJ, Anderson C, Nugent K: Alternative publication metrics in the time of COVID-19. Proc (Bayl Univ Med Cent). 2022; 35 (1): 43–5. PubMed Abstract | Publisher Full Text | Free Full Text 5. Altmetric: How does it work? Altmetric, 2024. Reference Source 6. Wouters P, Zahedi Z, Costas R: Social media metrics for new research evaluation. In: Glänzel W, Moed HF, Schmoch, Thelwall M, editors. Springer handbook of science and technology indicators. Springer Verlag, 2019; 687–713. Publisher Full Text 7. Altmetric: Our sources. Altmetric, 2024. Reference Source 8. Altmetric: Altmetric Attention Score. 2024. Reference Source 9. Tornberg H, Moezinia C, Wei C, et al. : Assessment of the dissemination of COVID-19-Related articles across social media: altmetrics study. JMIR Form Res. 2023; 7 (1): e41388. PubMed Abstract | Publisher Full Text | Free Full Text 10. Araujo AC, Vanin AA, Nascimento DP, et al. : What are the variables associated with Altmetric scores? Syst Rev. 2021; 10 (1): 193. PubMed Abstract | Publisher Full Text | Free Full Text 11. Brandt MD, Ghozy SA, Kallmes DF, et al. : Comparison of citation rates between COVID-19 and non-COVID-19 articles across 24 major scientific journals. PLoS One. 2022; 17 (7): e0271071. PubMed Abstract | Publisher Full Text | Free Full Text 12. Khatter A, Naughton M, Dambha-Miller H, et al. : Is rapid scientific publication also high quality? Bibliometric analysis of highly disseminated COVID-19 research papers. Learn Publ. 2021; 34 (4): 568–77. PubMed Abstract | Publisher Full Text | Free Full Text 13. Allington D, Duffy B, Wessely S, et al. : Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency - CORRIGENDUM. Psychol Med. 2021; 51 (10): 1763–9. PubMed Abstract | Publisher Full Text | Free Full Text 14. Su Z, McDonnell D, Wen J, et al. : Mental health consequences of COVID-19 media coverage: the need for effective crisis communication practices. Global Health. 2021; 17 (1): 4. PubMed Abstract | Publisher Full Text | Free Full Text 15. Suarez-Lledo V, Alvarez-Galvez J: Prevalence of health misinformation on social media: systematic review. J Med Internet Res. 2021; 23 (1): e17187. PubMed Abstract | Publisher Full Text | Free Full Text 16. Adebesin F, Smuts H, Mawela T, et al. : The role of social media in health misinformation and disinformation during the COVID-19 pandemic: bibliometric analysis. JMIR Infodemiology. 2023; 3 (1): e48620. PubMed Abstract | Publisher Full Text | Free Full Text 17. Newman N, Fletcher R, Eddy K, et al. : Reuters Institute digital news report 2023. [object Object], 2023. Reference Source 18. Reuters Institute for the Study of Journalism: Digital news report 2024. 2024. Reference Source 19. Raamkumar AS, Tan SG, Wee HL: Measuring the outreach efforts of public health authorities and the public response on facebook during the COVID-19 pandemic in early 2020: cross-country comparison. J Med Internet Res. 2020; 22 (5): e19334. PubMed Abstract | Publisher Full Text | Free Full Text 20. Terrés AM: HSE action plan for health research 2019–2029. Health Service Executive, 2019; 36. Reference Source 21. Houses of the Oireachtas: Committee on the future of healthcare sláintecare report. May, 2017. Reference Source 22. Delivering sláintecare reform. 2019. Reference Source 23. About IReL. IReL, 2024. Reference Source 24. Sharp MK, Logullo P, Murphy P, et al. : Altmetric coverage of health research in Ireland 2017–2023: a protocol for a cross-sectional analysis [version 2; peer review: 2 approved, 1 approved with reservations, 1 not approved]. HRB Open Res. 2024; 7 : 36. PubMed Abstract | Publisher Full Text | Free Full Text 25. Sharp M: Optimising the dissemination of health research in Ireland. 2023. https://osf.io/kfct6/ 26. Vandenbroucke JP, von Elm E, Altman DG, et al. : Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. PLoS Med. 2007; 4 (10): e297. PubMed Abstract | Publisher Full Text | Free Full Text 27. Data-science: GRID. 2021. Reference Source 28. Research Organization Registry: ROR Data. Zenodo. 2024. Reference Source 29. Australian Bureau of Statistics: Australian and New Zealand Standard Research Classification (ANZSRC). Australian Bureau of Statistics, 2020. Reference Source 30. OpenAlex: OpenAlex: the open catalog to the global research system. 2024. Reference Source 31. OpenAlex: OpenAlex topic classification whitepaper.docx. Google Docs, 2024. Reference Source 32. Culbert J, Hobert A, Jahn N, et al. : Reference coverage analysis of openalex compared to web of science and scopus. arXiv, 2024. Publisher Full Text 33. Hug SE, Ochsner M, Brändle MP: Citation analysis with microsoft academic. Scientometrics. 2017; 111 (1): 371–8. Publisher Full Text 34. van Eck NJ, Waltman L: An open approach for classifying research publications. 2024. Reference Source 35. Altmetric: Type of open access. 2021. Reference Source 36. Clermont M, Krolak J, Tunger D: Does the citation period have any effect on the informative value of selected citation indicators in research evaluations? Scientometrics. 2021; 126 (2): 1019–47. Publisher Full Text 37. Glänzel W: Seven myths in bibliometrics about facts and fiction in quantitative science studies. COLLNET Journal of Scientometrics and Information Management. 2008; 2 (1): 9–17. Publisher Full Text 38. Altmetric: Altmetric attention score in context. 2024. Reference Source 39. Clark J: How COVID-19 bolstered an already perverse publishing system. BMJ. 2023; 380 : 689. PubMed Abstract | Publisher Full Text 40. Riccaboni M, Verginer L: The impact of the COVID-19 pandemic on scientific research in the life sciences. PLoS One. 2022; 17 (2): e0263001. PubMed Abstract | Publisher Full Text | Free Full Text 41. Nane GF, Robinson-Garcia N, van Schalkwyk F, et al. : COVID-19 and the scientific publishing system: growth, open access and scientific fields. Scientometrics. 2023; 128 (1): 345–362. PubMed Abstract | Publisher Full Text | Free Full Text 42. Taylor M: Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status. Scientometrics. 2023; 128 (4): 2175–2200. PubMed Abstract | Publisher Full Text | Free Full Text 43. Bornmann L, Haunschild R, Mutz R: Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases. Humanit Soc Sci Commun. 2021; 8 (1): 224. Publisher Full Text 44. Day S, Rennie S, Luo D, et al. : Open to the public: paywalls and the public rationale for open access medical research publishing. Res Involv Engagem. 2020; 6 (1): 8. PubMed Abstract | Publisher Full Text | Free Full Text 45. Vidal Valero M: Thousands of scientists are cutting back on Twitter, seeding angst and uncertainty. Nature. 2023; 620 (7974): 482–484. PubMed Abstract | Publisher Full Text 46. O’Leary L: Move Over, Twitter, Er, X. LinkedIn Is the Cool Place to Be. Slate, September 11, 2023. Reference Source 47. Digital Science: Altmetric adds Bluesky social media as a research attention source. EurekAlert! December 4, 2024. Reference Source 48. Mallapaty S: ‘A place of joy’: why scientists are joining the rush to Bluesky. Nature. 2024; 636 (8041): 15–16. PubMed Abstract | Publisher Full Text 49. Draux H, Wastl J: Bibliometric analysis of HRB supported publications. figshare. 2024. Reference Source 50. Jarrett K: Digital Ireland: Leprechaun economics, Silicon Docks, and crisis. In: Routledge International Handbook of Irish Studies . Routledge, 2020. Reference Source 51. Torres-Salinas D, Robinson-Garcí­a N, Arroyo-Machado W: Coverage and distribution of altmetric mentions in Spain: a cross-country comparison in 22 research fields. Prof inform. 2022; 31 (2). Publisher Full Text 52. Arroyo-Machado W, Torres-Salinas D: Stranger things: the vanishing of the Altmetric Attention Score values in information and library science. Scientometrics. 2024; 129 : 6287–6300. Publisher Full Text 53. Karmakar M, Singh VK, Banshal SK: Measuring altmetric events: the need for longer observation period and article level computations. Global Knowledge, Memory and Communication. January 1, 2023. Publisher Full Text 54. Filter works. OpenAlex technical documentation, 2024. Reference Source 55. Bornmann L: Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. J Inform. 2014; 8 (4): 895–903. Publisher Full Text 56. Zissette S, Gautam A, Krumholz HM, et al. : Altmetric Attention Scores and citations of published research with or without preprints. JAMA Netw Open. 2024; 7 (7): e2424732. PubMed Abstract | Publisher Full Text | Free Full Text 57. Mukherjee B, Subotić S, Chaubey AK: And now for something completely different: the congruence of the Altmetric Attention Score’s structure between different article groups. Scientometrics. 2018; 114 (1): 253–275. Publisher Full Text 58. Gumpenberger C, Glänzel W, Gorraiz J: The ecstasy and the agony of the altmetric score. Scientometrics. 2016; 108 (2): 977–982. Publisher Full Text 59. Christin A, Bernstein MS, Hancock JT, et al. : Internal fractures: the competing logics of social media platforms. Soc Media Soc. 2024; 10 (3): 20563051241274668. Publisher Full Text 60. Zhang L, Gou Z, Fang Z, et al. : Who tweets scientific publications? A large-scale study of tweeting audiences in all areas of research. J Assoc Inf Sci Technol. 2023; 74 (13): 1485–1497. Publisher Full Text Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 02 May 2025 ADD YOUR COMMENT Comment Author details Author details 1 Department of Public Health and Epidemiology, RCSI University of Medicine and Health Sciences, Dublin, Ireland 2 School of Medicine, RCSI University of Medicine and Health Sciences, Dublin, Ireland 3 Centre for Statistics in Medicine and EQUATOR Network UK Centre, University of Oxford, Oxford, England, UK 4 Dublin City University School of Communications, Dublin, Leinster, Ireland 5 Centre for Health Policy and Management, Discipline of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland 6 Department of Pharmacology & Therapeutics, Trinity College Dublin Trinity Health Sciences, Dublin, Ireland 7 Health Information and Quality Authority, Dublin 7, Ireland Melissa K.Sharp Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Shaimaa Abuhaimed Roles: Data Curation, Investigation, Writing – Review & Editing Beatrice Yeoh Roles: Data Curation, Investigation, Writing – Review & Editing Patricia Logullo Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Fiona Boland Roles: Methodology, Supervision, Writing – Review & Editing Padraig Murphy Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Sara Burke Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Máirín Ryan Roles: Conceptualization, Funding Acquisition, Methodology, Writing – Review & Editing Barbara Clyne Roles: Conceptualization, Funding Acquisition, Methodology, Supervision, Writing – Review & Editing Competing interests No competing interests were disclosed. Grant information Health Research Board Ireland [ARPP-2023-010]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Article Versions (1) version 1 Published: 02 May 2025, 8:58 https://doi.org/10.12688/hrbopenres.14121.1 Copyright © 2025 K.Sharp M 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 $counts.viewCount downloads Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article K.Sharp M, Abuhaimed S, Yeoh B et al. A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.12688/hrbopenres.14121.1 ) 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 02 May 2025 Views 0 Cite How to cite this report: Maleki A. Reviewer Report For: A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.21956/hrbopenres.15519.r47123 ) The direct URL for this report is: https://hrbopenresearch.org/articles/8-58/v1#referee-response-47123 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 28 May 2025 Ashraf Maleki , University of Turku, Turku, Finland Approved with Reservations VIEWS 0 https://doi.org/10.21956/hrbopenres.15519.r47123 Thank you for the opportunity to review this preprint, which addresses the trends, coverage, and impact of health-related research outputs from Irish organizations using Altmetric and citation data. The study raises interesting questions about how research attention is distributed across ... Continue reading READ ALL Thank you for the opportunity to review this preprint, which addresses the trends, coverage, and impact of health-related research outputs from Irish organizations using Altmetric and citation data. The study raises interesting questions about how research attention is distributed across health-related fields and over time (and probably organizational types), particularly in relation to open access models and Altmetric Attention Scores. While the work offers valuable descriptive insights, several conceptual, methodological, and analytical limitations currently reduce the robustness and clarity of the findings. The comments below highlight major issues related to data representativeness, statistical treatment, and interpretation, followed by more minor suggestions on reporting the study. Major Issues- Dataset >> The dataset relies from the beginning on Altmetric records, which inherently only include outputs that already received online attention. This means the data cannot be used to assess overall “Altmetric coverage” of Irish publications because outputs without any Altmetric mentions are systematically missing. This point undermines the study’s claim to assess trends in coverage over time or the extent of coverage across all Irish research. Clarify this limitation explicitly, as the interpretation of findings depends on understanding that the sample is pre-filtered for positive Altmetric counts or actually contains all the Irish publication (with DOI). Benchmarks >> The discussion about low government and company sector outputs lacks support because the study does not compare its data to external publication benchmarks (e.g., from Web of Science, Scopus, or Dimensions). Without knowing how many outputs these sectors produce overall, the meaning of their Altmetric representation remains unclear. Strongly recommend cross-referencing with other data sources to contextualize findings and avoid/reconsider the statements that are unsupported generalizations about Ireland’s role in European research or the tech sector. Statistical Analysis: Proportion Statistics Usage >> The issue with the dataset resurfaces in statistics reported in the findings that does not match the aim of “(trends of) Altmetric coverage”. Proportion non-zero statistics could address the goals of altmetric coverage across platform. This emphasizes and repeats my point above: the fact that abstract reports “One in five outputs received 0 AAS” (not too many zeros!) shows that there is something strange about it. At the beginning “Altmetric [is used] to search for all research outputs” and it means that by default all publications assume altmetric impact. The presence of zeros is either because of positive presence in platforms not reported in this study or sometimes because of deleted engagements which is common among users in online social media and usually leaves traces as 0’s when altmetric.com updates them. Tracking Altmetric coverage requires correcting the dataset by comparing its data to external publication benchmarks from more comprehensive publication indexing venues. Handling Skewness >> Citation and Altmetric data often are skewed and have extreme outliers. Reporting only the arithmetic mean and SD is inadequate; medians or geometric means (per Thelwall, 2016) should be provided, especially when SD exceeds the mean. This applies to all data reported in Tables 4 and 5, where the spread indicates the presence of extreme values. I strongly recommend improving the statistical description accordingly. minor comment >> There’s a mismatch between Table 4 (“>20 only”) and the Methods section (“≥20”). Also, mention what the threshold apply to? AAS or to metric count in every separate altmetric platform? “>20 [AAS] only” ZNBR Model >> The use of zero-inflated negative binomial regression (ZNBR) or similar models depends on having a complete dataset that includes both publications with Altmetric mentions (non-zero counts) and those without (zero counts). In this study, the dataset is drawn directly from Altmetric, which only tracks outputs that have already received at least one mention in one of the altmetric.com platforms, effectively excluding true zeros from the start. As a result, the conditions for applying a ZNBR model are not met. Instead, a recommendation would be applying a least squares regression on log-transformed Altmetric data. Log transformation can help normalize the distribution by reducing the influence of outliers and skew, allowing for estimation of relationships. Limitations Handling of Preprints >> The inclusion of preprints in the dataset is driven by Altmetric’s aggregation and use of ROR organizations as the starting point but isn’t clearly flagged as a limitation. Since preprints are unreviewed, they don’t represent formal research outputs in the same way as peer-reviewed publications. Explicitly discuss the implications of this mixed dataset, e.g. AAS as a potential signal of future impact. Also consider that this means that many preprints without altmetric mentions are not included to account for non-cited preprints and hence preprints not present in altmetric.com dataset. Further recommendations >> Classify and report stats on organizations. The discussion notes that many healthcare organizations are hospitals partnered with universities, but no direct statistics are provided to support this. Classifying organizations by type (e.g., government, university, research institute, hospital, university hospital) and presenting AAS indicators by category would add analytical depth. Additionally, examining collaboration patterns could offer useful insights, as hinted at in the discussion. Minor comments - The definitions of OA types are first introduced in the Results section and then repeated below the figures. Recommend keeping the note under Figure 2, but moving formal definitions to the Methods or Introduction. Similarly, under Figure 1, the ANZSRC classification codes can be trimmed; reference the field names and publication frequencies instead. Reference: Thelwall, M. (2016). The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach. Journal of informetrics , 10 (1), 110-123. 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? Partly Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly References 1. Thelwall M: The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach. Journal of Informetrics . 2016; 10 (1): 110-123 Publisher Full Text Competing Interests: No competing interests were disclosed. Reviewer Expertise: Scientometrics, Altmetrics 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 Maleki A. Reviewer Report For: A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.21956/hrbopenres.15519.r47123 ) The direct URL for this report is: https://hrbopenresearch.org/articles/8-58/v1#referee-response-47123 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 Respond or Comment COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Jana S. Reviewer Report For: A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.21956/hrbopenres.15519.r47124 ) The direct URL for this report is: https://hrbopenresearch.org/articles/8-58/v1#referee-response-47124 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 28 May 2025 Sibsankar Jana , University of Kalyani, Kalyani, West Bengal, India Approved VIEWS 0 https://doi.org/10.21956/hrbopenres.15519.r47124 It is really a good research work. The authors accepted that data on attention scores from all Irish health research outputs were obtained using an institutional license for Altmetric Explorer, thus they were unable to share the datasets; however, the ... Continue reading READ ALL It is really a good research work. The authors accepted that data on attention scores from all Irish health research outputs were obtained using an institutional license for Altmetric Explorer, thus they were unable to share the datasets; however, the .rmd files and non-proprietary datasets are available on the Open Science Framework. Otherwise, all methods and data are available to all. 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? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: Informetrics ; Text analytics; data carpentry; knowledge organization 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. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Jana S. Reviewer Report For: A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.21956/hrbopenres.15519.r47124 ) The direct URL for this report is: https://hrbopenresearch.org/articles/8-58/v1#referee-response-47124 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 Respond or Comment COMMENT ON THIS REPORT Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 02 May 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 1 02 May 25 read read Sibsankar Jana , University of Kalyani, Kalyani, India Ashraf Maleki , University of Turku, Turku, Finland 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 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Maleki A. 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. 28 May 2025 | for Version 1 Ashraf Maleki , University of Turku, Turku, Finland 0 Views copyright © 2025 Maleki A. 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 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 Thank you for the opportunity to review this preprint, which addresses the trends, coverage, and impact of health-related research outputs from Irish organizations using Altmetric and citation data. The study raises interesting questions about how research attention is distributed across health-related fields and over time (and probably organizational types), particularly in relation to open access models and Altmetric Attention Scores. While the work offers valuable descriptive insights, several conceptual, methodological, and analytical limitations currently reduce the robustness and clarity of the findings. The comments below highlight major issues related to data representativeness, statistical treatment, and interpretation, followed by more minor suggestions on reporting the study. Major Issues- Dataset >> The dataset relies from the beginning on Altmetric records, which inherently only include outputs that already received online attention. This means the data cannot be used to assess overall “Altmetric coverage” of Irish publications because outputs without any Altmetric mentions are systematically missing. This point undermines the study’s claim to assess trends in coverage over time or the extent of coverage across all Irish research. Clarify this limitation explicitly, as the interpretation of findings depends on understanding that the sample is pre-filtered for positive Altmetric counts or actually contains all the Irish publication (with DOI). Benchmarks >> The discussion about low government and company sector outputs lacks support because the study does not compare its data to external publication benchmarks (e.g., from Web of Science, Scopus, or Dimensions). Without knowing how many outputs these sectors produce overall, the meaning of their Altmetric representation remains unclear. Strongly recommend cross-referencing with other data sources to contextualize findings and avoid/reconsider the statements that are unsupported generalizations about Ireland’s role in European research or the tech sector. Statistical Analysis: Proportion Statistics Usage >> The issue with the dataset resurfaces in statistics reported in the findings that does not match the aim of “(trends of) Altmetric coverage”. Proportion non-zero statistics could address the goals of altmetric coverage across platform. This emphasizes and repeats my point above: the fact that abstract reports “One in five outputs received 0 AAS” (not too many zeros!) shows that there is something strange about it. At the beginning “Altmetric [is used] to search for all research outputs” and it means that by default all publications assume altmetric impact. The presence of zeros is either because of positive presence in platforms not reported in this study or sometimes because of deleted engagements which is common among users in online social media and usually leaves traces as 0’s when altmetric.com updates them. Tracking Altmetric coverage requires correcting the dataset by comparing its data to external publication benchmarks from more comprehensive publication indexing venues. Handling Skewness >> Citation and Altmetric data often are skewed and have extreme outliers. Reporting only the arithmetic mean and SD is inadequate; medians or geometric means (per Thelwall, 2016) should be provided, especially when SD exceeds the mean. This applies to all data reported in Tables 4 and 5, where the spread indicates the presence of extreme values. I strongly recommend improving the statistical description accordingly. minor comment >> There’s a mismatch between Table 4 (“>20 only”) and the Methods section (“≥20”). Also, mention what the threshold apply to? AAS or to metric count in every separate altmetric platform? “>20 [AAS] only” ZNBR Model >> The use of zero-inflated negative binomial regression (ZNBR) or similar models depends on having a complete dataset that includes both publications with Altmetric mentions (non-zero counts) and those without (zero counts). In this study, the dataset is drawn directly from Altmetric, which only tracks outputs that have already received at least one mention in one of the altmetric.com platforms, effectively excluding true zeros from the start. As a result, the conditions for applying a ZNBR model are not met. Instead, a recommendation would be applying a least squares regression on log-transformed Altmetric data. Log transformation can help normalize the distribution by reducing the influence of outliers and skew, allowing for estimation of relationships. Limitations Handling of Preprints >> The inclusion of preprints in the dataset is driven by Altmetric’s aggregation and use of ROR organizations as the starting point but isn’t clearly flagged as a limitation. Since preprints are unreviewed, they don’t represent formal research outputs in the same way as peer-reviewed publications. Explicitly discuss the implications of this mixed dataset, e.g. AAS as a potential signal of future impact. Also consider that this means that many preprints without altmetric mentions are not included to account for non-cited preprints and hence preprints not present in altmetric.com dataset. Further recommendations >> Classify and report stats on organizations. The discussion notes that many healthcare organizations are hospitals partnered with universities, but no direct statistics are provided to support this. Classifying organizations by type (e.g., government, university, research institute, hospital, university hospital) and presenting AAS indicators by category would add analytical depth. Additionally, examining collaboration patterns could offer useful insights, as hinted at in the discussion. Minor comments - The definitions of OA types are first introduced in the Results section and then repeated below the figures. Recommend keeping the note under Figure 2, but moving formal definitions to the Methods or Introduction. Similarly, under Figure 1, the ANZSRC classification codes can be trimmed; reference the field names and publication frequencies instead. Reference: Thelwall, M. (2016). The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach. Journal of informetrics , 10 (1), 110-123. 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? Partly Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Partly Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly References 1. Thelwall M: The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach. Journal of Informetrics . 2016; 10 (1): 110-123 Publisher Full Text Competing Interests No competing interests were disclosed. Reviewer Expertise Scientometrics, Altmetrics 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 (0) Maleki A. Peer Review Report For: A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.21956/hrbopenres.15519.r47123) 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://hrbopenresearch.org/articles/8-58/v1#referee-response-47123 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Jana S. 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. 28 May 2025 | for Version 1 Sibsankar Jana , University of Kalyani, Kalyani, West Bengal, India 0 Views copyright © 2025 Jana S. 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 It is really a good research work. The authors accepted that data on attention scores from all Irish health research outputs were obtained using an institutional license for Altmetric Explorer, thus they were unable to share the datasets; however, the .rmd files and non-proprietary datasets are available on the Open Science Framework. Otherwise, all methods and data are available to all. 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? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests No competing interests were disclosed. Reviewer Expertise Informetrics ; Text analytics; data carpentry; knowledge organization 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) Jana S. Peer Review Report For: A cross-sectional analysis of Altmetric coverage of health research from Irish research organisations (2017-2023) [version 1; peer review: 1 approved, 1 approved with reservations] . HRB Open Res 2025, 8 :58 ( https://doi.org/10.21956/hrbopenres.15519.r47124) 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://hrbopenresearch.org/articles/8-58/v1#referee-response-47124 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 HRB Open Research 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 cross-sectional analysis of Altmetric coverage...".replace("'", ''); var linkedInUrl = "http://www.linkedin.com/shareArticle?url=https://hrbopenresearch.org/articles/8-58/v1" + "&title=" + encodeURIComponent(lTitle) + "&summary=" + encodeURIComponent('Read the article by '); var deliciousUrl = "https://del.icio.us/post?url=https://hrbopenresearch.org/articles/8-58/v1&title=" + encodeURIComponent(lTitle); var redditUrl = "http://reddit.com/submit?url=https://hrbopenresearch.org/articles/8-58/v1" + "&title=" + encodeURIComponent(lTitle); linkedInUrl += encodeURIComponent('K.Sharp M 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://hrbopenresearch.org/articles/8-58/v1/mendeley", icon:"/img/icon/at_mendeley.svg" }, { name: "Reddit", url: redditUrl, icon:"/img/icon/at_reddit.svg" }, ] }; var addthis_share = { url: "https://hrbopenresearch.org/articles/8-58", templates : { twitter : "A cross-sectional analysis of Altmetric coverage of health research.... K.Sharp M et al., published by " + "@HRBOpenRes" + ", https://hrbopenresearch.org/articles/8-58/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/14121/15519") new F1000.Clipboard(); new F1000.ThesaurusTermsDisplay("articles", "article", "15519"); $(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 = { "47277": 0, "47278": 0, "47279": 0, "47280": 0, "47281": 0, "47282": 0, "47123": 14, "47283": 0, "47284": 0, "47124": 6, "47125": 0, "47285": 0, "47126": 0, "47286": 0, "47127": 0, "47128": 0, "47129": 0, "47130": 0, "47131": 0, "47132": 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 = "1af9cfa7-a18d-497b-99c6-aaa7c8c340fd"; uuidInput.val(newUUId); $("a[href*='article_uuid=']").each(function(index, el) { var newHref = $(el).attr("href").replace(oldUUId, newUUId); $(el).attr("href", newHref); }); }); Are you a HRB-funded researcher? Submission to HRB Open Research is open to all HRB grantholders or people working on a HRB-funded/co-funded grant on or since 1 January 2017. Sign up for information about developments, publishing and publications from HRB Open Research. First Name * You must provide your first name Last Name * You must provide your last name Email * You must provide a valid email address Institution You must provide an institution. Submit Thank you! We'll keep you updated on any major new updates to HRB Open Research HRB Open Research Browse How to Publish About Contact RSS Cookie Notice Privacy Notice Legal Submit Your Research © F1000 Research Limited and its licensors ISSN 2515-4826 | Legal background var F1000platform = new F1000.Platform({ name: "hrb", displayName: "HRB Open Research", hostName: "hrbopenresearch.org", id: "5", editorialEmail: "[email protected]", infoEmail: "[email protected]" }); 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") { $(this).val(uris.toString().replace(",","/")); } }); }); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fee98773c4b593a',t:'MTc3OTMxNDIzMA=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();