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The Matthew Effect of the Annual Reviews series and the flow of scientific communication through the World Wide Web

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  • Cecelia Brown

    (School of Library and Information Studies, The University of Oklahoma)

Abstract

Authors of the well-regarded Annual Reviews series incorporate URLs to in the text, figures, tables, and reference sections of their articles. Despite the lack of peer review, the number of pointers to scientific information on the World Wide Web in the biomedical and physical science reviews increased five fold between 1997 and 2001. However, only 34% and 76% of the URLs from 1997 and 2001, respectively, remain viable in 2003. This is disconcerting as the stability of the highly cited Annual Reviewsseries is integral to the flow of scientific information. In fact, the citation rate for the URL containing Annual Reviewsarticles was found to be less than half that observed for all the review articles analyzed. Taken together these data suggest that the viability of web information may influence the citation rate of authors who have previously basked in the halo of R. K. Merton's Matthew Effect.

Suggested Citation

  • Cecelia Brown, 2004. "The Matthew Effect of the Annual Reviews series and the flow of scientific communication through the World Wide Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 25-30, May.
    • Handle: RePEc:spr:scient:v:60:y:2004:i:1:d:10.1023_b:scie.0000027304.80068.0c
    DOI: 10.1023/B:SCIE.0000027304.80068.0c
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    References listed on IDEAS

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    1. Danny P. Wallace, 1986. "The relationship between journal productivity and obsolescence," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(3), pages 136-145, May.
    2. Katherine W. McCain, 2000. "Sharing digitized research‐related information on the World Wide Web," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(14), pages 1321-1327.
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    Cited by:

    1. Richard S.J. Tol, 2009. "The Matthew effect defined and tested for the 100 most prolific economists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 420-426, February.
    2. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
    3. Hajar Sotudeh & Abbas Horri, 2009. "Countries positioning in open access journals system: An investigation of citation distribution patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 7-31, October.
    4. Xue Yang & Xin Gu & Yuandi Wang & Guangyuan Hu & Li Tang, 2015. "The Matthew effect in China’s science: evidence from academicians of Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2089-2105, March.

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