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Information‐seeking behavior of chemists: A transaction log analysis of referral URLs

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  • Philip M. Davis

Abstract

This study reports an analysis of referral URL data by the Cornell University IP address from the American Chemical Society servers. The goal of this work is to better understand the tools used and pathways taken when scientists connect to electronic journals. While various methods of referral were identified in this study, most individuals were referred infrequently and followed few and consistent pathways each time they connected. The relationship between the number and types of referrals followed an inverse‐square law. Whereas the majority of referrals came from established finding tools (library catalog, library e‐journal list, and bibliographic databases), a substantial number of referrals originated from generic Web searches. Scientists are also relying on local alternatives or substitutes such as departmental or personal Web pages with lists of linked publications. The use of electronic mail as a method to refer scientists directly to online articles may be greatly underestimated. Implications for the development of redundant library services such as e‐journal lists and the practice of publishers to allow linking from other resources are discussed.

Suggested Citation

  • Philip M. Davis, 2004. "Information‐seeking behavior of chemists: A transaction log analysis of referral URLs," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(4), pages 326-332, February.
    • Handle: RePEc:bla:jamist:v:55:y:2004:i:4:p:326-332
    DOI: 10.1002/asi.10384
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    Cited by:

    1. Zahed Bigdeli & Morteza Kokabi & Gholam Reza Rajabi & Ali Gazni, 2013. "Patterns of authors’ information scattering: towards a causal explanation of information scattering from a scholarly information-seeking behavior perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 103-131, July.
    2. Xi Niu & Bradley M. Hemminger & Cory Lown & Stephanie Adams & Cecelia Brown & Allison Level & Merinda McLure & Audrey Powers & Michele R. Tennant & Tara Cataldo, 2010. "National study of information seeking behavior of academic researchers in the United States," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 869-890, May.
    3. Yi Bu & Tian-yi Liu & Win-bin Huang, 2016. "MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 143-166, July.

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