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Usage metrics vs classical metrics: analysis of Russia’s research output

Author

Listed:
  • Valentina Markusova

    (All Russian Institute for Scientific and Technical Information (VINITI) of the RAS)

  • Valentin Bogorov

    (Customer Education Team, Clarivate Analytics)

  • Alexander Libkind

    (All Russian Institute for Scientific and Technical Information (VINITI) of the RAS)

Abstract

This paper discusses the results of a pilot project investigating Russian scholarly publications using the altmetric indicators “Usage Count Last 180 days” (U1) and “Usage Count Since 2013” (U2) introduced by Web of Science. We explored the relationship between citation impact and both types of usage counts. The data set consisted of 37,281 records (publications) indexed by SCI-E in 2015. Seven broad research areas were selected to observe citation patterns and usage counts. A significant difference was found between mean citations and mean usage counts (U2) in a few research areas. We discovered a significant Kendall rank correlation between the citation metrics and usage metrics at the article level. This correlation is particularly strong for the longer period usage metric (U2). We also analyzed the relationship between usage metrics and traditional journal-level citation metrics. Very weak correlation was observed.

Suggested Citation

  • Valentina Markusova & Valentin Bogorov & Alexander Libkind, 2018. "Usage metrics vs classical metrics: analysis of Russia’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 593-603, February.
    • Handle: RePEc:spr:scient:v:114:y:2018:i:2:d:10.1007_s11192-017-2597-2
    DOI: 10.1007/s11192-017-2597-2
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    References listed on IDEAS

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    Cited by:

    1. Luis Javier Cabeza Ramírez & Sandra M. Sánchez-Cañizares & Fernando J. Fuentes-García, 2019. "Past Themes and Tracking Research Trends in Entrepreneurship: A Co-Word, Cites and Usage Count Analysis," Sustainability, MDPI, vol. 11(11), pages 1-32, June.
    2. Wencan Tian & Yongzhen Wang & Zhigang Hu & Ruonan Cai & Guangyao Zhang & Xianwen Wang, 2024. "Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3285-3302, June.

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