IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v58y2007i1p15-24.html
   My bibliography  Save this article

Link decay in leading information science journals

Author

Listed:
  • Dion Hoe‐Lian Goh
  • Peng Kin Ng

Abstract

Web citations have become common in scholarly publications as the amount of online literature increases. Yet, such links are not persistent and many decay over time, causing accessibility problems for readers. The present study investigates the link decay phenomenon in three leading information science journals. Articles spanning a period of 7 years (1997–2003) were downloaded, and their links were extracted. From these, a measure of link decay, the half‐life, was computed to be approximately 5 years, which compares favorably against other disciplines (1.4–4.8 years). The study also investigated types of link accessibility errors encountered as well as examined characteristics of links that may be associated with decay. It was found that approximately 31% of all citations were not accessible during the time of testing, and the majority of errors were due to missing content (HTTP Error Code 404). Citations from the edu domain were also found to have the highest failure rates of 36% when compared with other popular top‐level domains. Results indicate that link decay is a problem that cannot be ignored, and implications for journal authors and readers are discussed.

Suggested Citation

  • Dion Hoe‐Lian Goh & Peng Kin Ng, 2007. "Link decay in leading information science journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(1), pages 15-24, January.
  • Handle: RePEc:bla:jamist:v:58:y:2007:i:1:p:15-24
    DOI: 10.1002/asi.20513
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20513
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.20513?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. Mohammad Karim Saberi & Alireza Isfandyari-Moghaddam & Sedigheh Mohamadesmaeil, 2011. "Web Citations Analysis of the JASSS: the First Ten Years," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-22.
    2. Sampath Kumar, B.T. & Vinay Kumar, D., 2013. "HTTP 404-page (not) found: Recovery of decayed URL citations," Journal of Informetrics, Elsevier, vol. 7(1), pages 145-157.

    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:15-24. 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.