IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v114y2018i2d10.1007_s11192-017-2597-2.html
   My bibliography  Save this article

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

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2597-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pei-Shan Chi & Wolfgang Glänzel, 2017. "An empirical investigation of the associations among usage, scientific collaboration and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 403-412, July.
    2. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    3. Xianwen Wang & Zhichao Fang & Xiaoling Sun, 2016. "Usage patterns of scholarly articles on Web of Science: a study on Web of Science usage count," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 917-926, November.
    4. Christian Gumpenberger & Wolfgang Glänzel & Juan Gorraiz, 2016. "The ecstasy and the agony of the altmetric score," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 977-982, August.
    5. Mike Thelwall & Paul Wilson, 2016. "Mendeley readership altmetrics for medical articles: An analysis of 45 fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(8), pages 1962-1972, August.
    6. Stefanie Haustein & Isabella Peters & Judit Bar-Ilan & Jason Priem & Hadas Shema & Jens Terliesner, 2014. "Coverage and adoption of altmetrics sources in the bibliometric community," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1145-1163, November.
    7. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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, Open Access Journal, vol. 11(11), pages 1-32, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:114:y:2018:i:2:d:10.1007_s11192-017-2597-2. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Springer Nature Abstracting and Indexing). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.