Article-level metrics
Article-level metrics are citation metrics which measure the usage and impact of individual scholarly articles.
Part of a series on |
Citation metrics |
---|
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]
See also
References
- "Article-Level Metrics". SPARC. Archived from the original on 25 March 2014. Retrieved 13 March 2014.
- "Article-Level Metrics: A Sparc Primer" (PDF). SPARC. April 2013. Archived from the original (PDF) on 13 March 2014. Retrieved 13 March 2014.
- Fenner, Martin (2005-07-01). "Article-Level Metrics Information". Lagotto. PLoS ONE. Retrieved 2012-05-29.
- "Overview". PLOS: Article-Level Metrics. Archived from the original on 14 February 2014. Retrieved 13 March 2014.
- Pattinson, Damian (March 2014). "The future is open: opportunities for publishers and institutions". Insights. 27 (1): 38–44. doi:10.1629/2048-7754.139.
- "Introduction to Release 1 of the COUNTER Code of Practice for Articles". COUNTER. Archived from the original on 22 March 2014. Retrieved 21 March 2014.
Further reading
- "SPARC - Article level metrics". Archived from the original on 2013-12-05. Retrieved 2013-12-19.
- "SPARC Primer" (PDF). Archived from the original (PDF) on 2014-03-13. Retrieved 2013-12-19.
- Neylon, Cameron; Wu, Shirley (Nov 2009). "Article-Level Metrics and the Evolution of Scientific Impact". PLOS Biol. 7 (11): e1000242. doi:10.1371/journal.pbio.1000242. PMC 2768794. PMID 19918558.