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Strange attractors in the Web of Science database

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  • García-Pérez, Miguel A.

Abstract

Accurate computation of h indices or other indicators of research impact requires access to databases supplying complete and accurate citation information. The Web of Science (WoS) database is widely used for this purpose and it is generally deemed error-free. This note describes an inaccuracy that seems to affect differentially non-English sources and targets in WoS, namely, “phantom citations” (i.e., papers reported by WoS to cite some article when they actually did not) and their concentration around particular articles that are thus dubbed “strange attractors”. The analysis of references in (and citations to) papers in two English sources and two non-English sources reveals that phantom citations and other errors of indexing occur about twice as often with non-English items. These and other errors of commission affect about 1% of the cited references in the WoS database, and they may reveal large-scale problems in the reference matching algorithm in WoS.

Suggested Citation

  • García-Pérez, Miguel A., 2011. "Strange attractors in the Web of Science database," Journal of Informetrics, Elsevier, vol. 5(1), pages 214-218.
    • Handle: RePEc:eee:infome:v:5:y:2011:i:1:p:214-218
    DOI: 10.1016/j.joi.2010.07.006
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    References listed on IDEAS

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    1. Tove Faber Frandsen & Jeppe Nicolaisen, 2008. "Intradisciplinary differences in database coverage and the consequences for bibliometric research," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(10), pages 1570-1581, August.
    2. Lokman I. Meho & Yvonne Rogers, 2008. "Citation counting, citation ranking, and h‐index of human‐computer interaction researchers: A comparison of Scopus and Web of Science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1711-1726, September.
    3. Norris, Michael & Oppenheim, Charles, 2007. "Comparing alternatives to the Web of Science for coverage of the social sciences’ literature," Journal of Informetrics, Elsevier, vol. 1(2), pages 161-169.
    4. Lokman I. Meho & Kiduk Yang, 2007. "Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2105-2125, November.
    5. Judit Bar-Ilan, 2008. "Which h-index? — A comparison of WoS, Scopus and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 257-271, February.
    6. Rousseau, Ronald, 2007. "The influence of missing publications on the Hirsch index," Journal of Informetrics, Elsevier, vol. 1(1), pages 2-7.
    7. Liwen Vaughan & Debora Shaw, 2008. "A new look at evidence of scholarly citation in citation indexes and from web sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 317-330, February.
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