IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v58y2007i1p39-50.html
   My bibliography  Save this article

Understanding journal usage: A statistical analysis of citation and use

Author

Listed:
  • John D. McDonald

Abstract

This study examined the relationship between print journal use, online journal use, and online journal discovery tools with local journal citations. Local use measures were collected from 1997 to 2004, and negative binomial regression models were designed to test the effect that local use, online availability, and access enhancements have on citation behaviors of academic research authors. Models are proposed and tested to determine whether multiple locally recorded usage measures can predict citations and if locally controlled access enhancements influence citation. The regression results indicated that print journal use was a significant predictor of local journal citations prior to the adoption of online journals. Publisher‐provided and locally recorded online journal use measures were also significant predictors of local citations. Online availability of a journal was found to significantly increase local citations, and, for some disciplines, a new access tool like an OpenURL resolver significantly impacts citations and publisher‐provided journal usage measures.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:1:p:39-50
    DOI: 10.1002/asi.20420
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20420
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.20420?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
    ---><---

    Citations

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


    Cited by:

    1. Lei Sun & Xiaoli Fan, 2024. "Research Hotspots and Future Trends in Canal-Related Industrial Buildings," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
    2. 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.
    3. 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.
    4. 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.
    5. Lee, So-Eun & Kim, Seongcheol & Lim, Chulmin, 2019. "Do special issues offer something special? An overview of research trends in Telecommunications Policy special issues," Telecommunications Policy, Elsevier, vol. 43(10).
    6. 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.
    7. Isidro F. Aguillo & José L. Ortega & Mario Fernández & Ana M. Utrilla, 2010. "Indicators for a webometric ranking of open access repositories," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 477-486, March.
    8. Wolfgang Glänzel & Juan Gorraiz, 2015. "Usage metrics versus altmetrics: confusing terminology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2161-2164, March.
    9. 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.
    10. 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.
    11. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.

    More about this item

    Statistics

    Access and download statistics

    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:bla:jamist:v:58:y:2007:i:1:p:39-50. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.