IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v82y2010i3d10.1007_s11192-010-0172-1.html
   My bibliography  Save this article

Comparison of citation and usage indicators: the case of oncology journals

Author

Listed:
  • Christian Schloegl

    (University of Graz)

  • Juan Gorraiz

    (University of Vienna)

Abstract

It is the objective of this article to examine in which aspects journal usage data differ from citation data. This comparison is conducted both at journal level and on a paper by paper basis. At journal level, we define a so-called usage impact factor and a usage half-life in analogy to the corresponding Thomson’s citation indicators. The usage data were provided from Science Direct, subject category “oncology”. Citation indicators were obtained from JCR, article citations were retrieved from SCI and Scopus. Our study shows that downloads and citations have different obsolescence patterns. While the average cited half-life was 5.6 years, we computed a mean usage half-life of 1.7 years for the year 2006. We identified a strong correlation between the citation frequencies and the number of downloads for our journal sample. The relationship was lower when performing the analysis on a paper by paper basis because of existing variances in the citation-download-ratio among articles. Also the correlation between the usage impact factor and Thomson’s journal impact factor was “only” moderate because of different obsolescence patterns between downloads and citations.

Suggested Citation

  • Christian Schloegl & Juan Gorraiz, 2010. "Comparison of citation and usage indicators: the case of oncology journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 567-580, March.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0172-1
    DOI: 10.1007/s11192-010-0172-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-010-0172-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-010-0172-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. John D. McDonald, 2007. "Understanding journal usage: A statistical analysis of citation and use," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(1), pages 39-50, January.
    2. Michael J. Kurtz & Guenther Eichhorn & Alberto Accomazzi & Carolyn Grant & Markus Demleitner & Stephen S. Murray & Nathalie Martimbeau & Barbara Elwell, 2005. "The bibliometric properties of article readership information," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(2), pages 111-128, January.
    3. Henk F. Moed, 2005. "Statistical relationships between downloads and citations at the level of individual documents within a single journal," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(10), pages 1088-1097, August.
    4. Johan Bollen & Herbert Van de Sompel, 2008. "Usage impact factor: The effects of sample characteristics on usage‐based impact metrics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 136-149, January.
    5. Tim Brody & Stevan Harnad & Leslie Carr, 2006. "Earlier Web usage statistics as predictors of later citation impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(8), pages 1060-1072, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juan Gorraiz & Christian Gumpenberger & Christian Schlögl, 2014. "Usage versus citation behaviours in four subject areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1077-1095, November.
    2. Wolfgang Glänzel & Juan Gorraiz, 2015. "Usage metrics versus altmetrics: confusing terminology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2161-2164, March.
    3. Barbara McGillivray & Mathias Astell, 2019. "The relationship between usage and citations in an open access mega-journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 817-838, November.
    4. Muhammad Salman Khan & Muhammad Younas, 2017. "Analyzing readers behavior in downloading articles from IEEE digital library: a study of two selected journals in the field of education," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1523-1537, March.
    5. Mike Thelwall, 2012. "Journal impact evaluation: a webometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 429-441, August.
    6. Christian Schlögl & Juan Gorraiz & Christian Gumpenberger & Kris Jack & Peter Kraker, 2014. "Comparison of downloads, citations and readership data for two information systems journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1113-1128, November.
    7. Liwen Vaughan & Juan Tang & Rongbin Yang, 2017. "Investigating disciplinary differences in the relationships between citations and downloads," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1533-1545, June.
    8. Bikun Chen, 2018. "Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 519-537, April.
    9. Andrés Fernández-Ramos & Blanca Rodríguez-Bravo & Ángela Diez-Diez, 2023. "Use of scientific journals in Spanish universities: analysis of the relationship between citations and downloads in two university library consortia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2489-2505, April.
    10. Ajiferuke, Isola & Famoye, Felix, 2015. "Modelling count response variables in informetric studies: Comparison among count, linear, and lognormal regression models," Journal of Informetrics, Elsevier, vol. 9(3), pages 499-513.
    11. Mike Thelwall, 2018. "Early Mendeley readers correlate with later citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1231-1240, June.
    12. 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.
    13. Ortega, José Luis, 2018. "The life cycle of altmetric impact: A longitudinal study of six metrics from PlumX," Journal of Informetrics, Elsevier, vol. 12(3), pages 579-589.
    14. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    15. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    16. Anthony Breitzman, 2021. "The relationship between web usage and citation statistics for electronics and information technology articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2085-2105, March.
    17. Brito, Ana C.M. & Silva, Filipi N. & de Arruda, Henrique F. & Comin, Cesar H. & Amancio, Diego R. & Costa, Luciano da F., 2021. "Classification of abrupt changes along viewing profiles of scientific articles," Journal of Informetrics, Elsevier, vol. 15(2).
    18. Wood-Doughty, Alex & Bergstrom, Ted & Steigerwald, Douglas, 2017. "Do download reports reliably measure journal usage? Trusting the fox to count your Hens?," University of California at Santa Barbara, Economics Working Paper Series qt1f221007, Department of Economics, UC Santa Barbara.
    19. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    20. Kousha, Kayvan & Thelwall, Mike & Abdoli, Mahshid, 2018. "Can Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 287-298.

    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:82:y:2010:i:3:d:10.1007_s11192-010-0172-1. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    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 (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.