Article-level metrics: Difference between revisions
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The [[open access]] publisher [[PLOS]] provides article level metrics for all of its journals<ref>{{cite web|title=Overview|url=http://article-level-metrics.plos.org/alm-info/|work=PLOS: Article-Level Metrics|accessdate=13 March 2014}}</ref> including downloads, citations, and altmetrics.<ref>{{cite journal|last=Pattinson|first=Damian|title=The future is open: opportunities for publishers and institutions|journal=Insights|date=March 2014|volume=27|issue=1|doi=10.1629/2048-7754.139|url=http://uksg.metapress.com/content/968368703801n150/fulltext.pdf|accessdate=18 March 2014|pages=38–44}}</ref> In March 2014 it was announced that COUNTER statistics, which measure usage of online scholarly resources, are now available at the article level.<ref>{{cite web|title=Introduction to Release 1 of the COUNTER Code of Practice for Articles|url=http://www.projectcounter.org/counterarticles.html|work=COUNTER|accessdate=21 March 2014}}</ref> |
The [[open access]] publisher [[PLOS]] provides article level metrics for all of its journals<ref>{{cite web|title=Overview|url=http://article-level-metrics.plos.org/alm-info/|work=PLOS: Article-Level Metrics|accessdate=13 March 2014}}</ref> including downloads, citations, and altmetrics.<ref>{{cite journal|last=Pattinson|first=Damian|title=The future is open: opportunities for publishers and institutions|journal=Insights|date=March 2014|volume=27|issue=1|doi=10.1629/2048-7754.139|url=http://uksg.metapress.com/content/968368703801n150/fulltext.pdf|accessdate=18 March 2014|pages=38–44}}</ref> In March 2014 it was announced that COUNTER statistics, which measure usage of online scholarly resources, are now available at the article level.<ref>{{cite web|title=Introduction to Release 1 of the COUNTER Code of Practice for Articles|url=http://www.projectcounter.org/counterarticles.html|work=COUNTER|accessdate=21 March 2014}}</ref> |
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==The Individual Impact Index Statistic== |
==The Individual Impact Index Statistic (i³)== |
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Reliable article-level metrics are not widespread, and are often reserved to non-standardized characteristics of individual articles, such as views, citations, downloads, and mentions in social and news media. These characteristics are known as “altmetrics”. However, when the number of views and citations are similar between two articles, no discriminating measure currently exists with which to assess and compare each article’s individual impact. Given the modern exponentially-growing scientific literature, scientists and readers of science need reliable, objective methods for managing, measuring and comparing research outputs and publications. This is where the "Individual Impact Index" Statistic or i |
Reliable article-level metrics are not widespread, and are often reserved to non-standardized characteristics of individual articles, such as views, citations, downloads, and mentions in social and news media. These characteristics are known as “altmetrics”. However, when the number of views and citations are similar between two articles, no discriminating measure currently exists with which to assess and compare each article’s individual impact. Given the modern exponentially-growing scientific literature, scientists and readers of science need reliable, objective methods for managing, measuring and comparing research outputs and publications. This is where the "Individual Impact Index" Statistic or i³ for short, comes in. The Individual Impact Index Statistic is a weighted algorithm that takes into account the scientific source and domain of the publication, the number of citations, as well as the provenance of those citations in order to yield a standardized and readily comparable measure of impact and dissemination for scholarly publications<ref>https://arxiv.org/pdf/1706.08806.pdf</ref>. The i³ was developed in Montreal by Dr. Jacques Balayla. |
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==See also== |
==See also== |
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Revision as of 01:54, 11 July 2017
Article-level metrics are citation metrics which measure the usage and impact of individual scholarly articles.
Adoption
Traditionally, bibliometrics have been used to evaluate the usage and impact of research, but have usually been focused on journal-level metrics such as the impact factor or researcher-level metrics such as the h-index.[1] Article-level metrics, on the other hand, may demonstrate the impact of an individual article. This is related to, but distinct from, altmetrics.[2]
Starting in March 2009, the Public Library of Science introduced article-level metrics for all articles.[3] The open access publisher PLOS provides article level metrics for all of its journals[4] including downloads, citations, and altmetrics.[5] In March 2014 it was announced that COUNTER statistics, which measure usage of online scholarly resources, are now available at the article level.[6]
The Individual Impact Index Statistic (i³)
Reliable article-level metrics are not widespread, and are often reserved to non-standardized characteristics of individual articles, such as views, citations, downloads, and mentions in social and news media. These characteristics are known as “altmetrics”. However, when the number of views and citations are similar between two articles, no discriminating measure currently exists with which to assess and compare each article’s individual impact. Given the modern exponentially-growing scientific literature, scientists and readers of science need reliable, objective methods for managing, measuring and comparing research outputs and publications. This is where the "Individual Impact Index" Statistic or i³ for short, comes in. The Individual Impact Index Statistic is a weighted algorithm that takes into account the scientific source and domain of the publication, the number of citations, as well as the provenance of those citations in order to yield a standardized and readily comparable measure of impact and dissemination for scholarly publications[7]. The i³ was developed in Montreal by Dr. Jacques Balayla.
See also
References
- ^ "Article-Level Metrics". SPARC. Retrieved 13 March 2014.
- ^ "Article-Level Metrics: A Sparc Primer" (PDF). SPARC. April 2013. Retrieved 13 March 2014.
- ^ "Article-Level Metrics Information". PLoS ONE. 2005-07-01. Retrieved 2012-05-29.
- ^ "Overview". PLOS: Article-Level Metrics. Retrieved 13 March 2014.
- ^ Pattinson, Damian (March 2014). "The future is open: opportunities for publishers and institutions" (PDF). Insights. 27 (1): 38–44. doi:10.1629/2048-7754.139. Retrieved 18 March 2014.
{{cite journal}}: CS1 maint: unflagged free DOI (link) - ^ "Introduction to Release 1 of the COUNTER Code of Practice for Articles". COUNTER. Retrieved 21 March 2014.
- ^ https://arxiv.org/pdf/1706.08806.pdf
Further reading
- "SPARC - Article level metrics".
- "SPARC Primer" (PDF).
- "Article-Level Metrics and the Evolution of Scientific Impact". PLoS Biol. 7: e1000242. Nov 2009. doi:10.1371/journal.pbio.1000242. PMC 2768794. PMID 19918558.
{{cite journal}}: CS1 maint: unflagged free DOI (link)