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How is science cited on the Web? A classification of google unique Web citations

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  • Kayvan Kousha
  • Mike Thelwall

Abstract

Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open‐access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject‐specific navigation (45%) or for self‐publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open‐access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.

Suggested Citation

  • Kayvan Kousha & Mike Thelwall, 2007. "How is science cited on the Web? A classification of google unique Web citations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(11), pages 1631-1644, September.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:11:p:1631-1644
    DOI: 10.1002/asi.20649
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    Cited by:

    1. Amalia Mas-Bleda & Mike Thelwall, 2016. "Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2007-2030, December.
    2. Siluo Yang & Feng Ma & Yanhui Song & Junping Qiu, 2010. "A longitudinal analysis of citation distribution breadth for Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 755-765, December.

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