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Article-Level Metrics
In the era of digitization and Open Access, article-level metrics are increasingly employed to distinguish influential research works and adjust research management strategies. Tagging individual articles with digital object identifiers allows exposing them to numerous channels of scholarly communic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985291/ https://www.ncbi.nlm.nih.gov/pubmed/33754507 http://dx.doi.org/10.3346/jkms.2021.36.e74 |
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author | Gasparyan, Armen Yuri Yessirkepov, Marlen Voronov, Alexander A. Maksaev, Artur A. Kitas, George D. |
author_facet | Gasparyan, Armen Yuri Yessirkepov, Marlen Voronov, Alexander A. Maksaev, Artur A. Kitas, George D. |
author_sort | Gasparyan, Armen Yuri |
collection | PubMed |
description | In the era of digitization and Open Access, article-level metrics are increasingly employed to distinguish influential research works and adjust research management strategies. Tagging individual articles with digital object identifiers allows exposing them to numerous channels of scholarly communication and quantifying related activities. The aim of this article was to overview currently available article-level metrics and highlight their advantages and limitations. Article views and downloads, citations, and social media metrics are increasingly employed by publishers to move away from the dominance and inappropriate use of journal metrics. Quantitative article metrics are complementary to one another and often require qualitative expert evaluations. Expert evaluations may help to avoid manipulations with indiscriminate social media activities that artificially boost altmetrics. Values of article metrics should be interpreted in view of confounders such as patterns of citation and social media activities across countries and academic disciplines. |
format | Online Article Text |
id | pubmed-7985291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-79852912021-03-31 Article-Level Metrics Gasparyan, Armen Yuri Yessirkepov, Marlen Voronov, Alexander A. Maksaev, Artur A. Kitas, George D. J Korean Med Sci Special Article In the era of digitization and Open Access, article-level metrics are increasingly employed to distinguish influential research works and adjust research management strategies. Tagging individual articles with digital object identifiers allows exposing them to numerous channels of scholarly communication and quantifying related activities. The aim of this article was to overview currently available article-level metrics and highlight their advantages and limitations. Article views and downloads, citations, and social media metrics are increasingly employed by publishers to move away from the dominance and inappropriate use of journal metrics. Quantitative article metrics are complementary to one another and often require qualitative expert evaluations. Expert evaluations may help to avoid manipulations with indiscriminate social media activities that artificially boost altmetrics. Values of article metrics should be interpreted in view of confounders such as patterns of citation and social media activities across countries and academic disciplines. The Korean Academy of Medical Sciences 2021-03-08 /pmc/articles/PMC7985291/ /pubmed/33754507 http://dx.doi.org/10.3346/jkms.2021.36.e74 Text en © 2021 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Article Gasparyan, Armen Yuri Yessirkepov, Marlen Voronov, Alexander A. Maksaev, Artur A. Kitas, George D. Article-Level Metrics |
title | Article-Level Metrics |
title_full | Article-Level Metrics |
title_fullStr | Article-Level Metrics |
title_full_unstemmed | Article-Level Metrics |
title_short | Article-Level Metrics |
title_sort | article-level metrics |
topic | Special Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985291/ https://www.ncbi.nlm.nih.gov/pubmed/33754507 http://dx.doi.org/10.3346/jkms.2021.36.e74 |
work_keys_str_mv | AT gasparyanarmenyuri articlelevelmetrics AT yessirkepovmarlen articlelevelmetrics AT voronovalexandera articlelevelmetrics AT maksaevartura articlelevelmetrics AT kitasgeorged articlelevelmetrics |