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Price revisited: on the growth of dissertations in eight research fields

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  • Jens Peter Andersen

    (Aarhus University Hospital
    Royal School of Library and Information Science)

  • Björn Hammarfelt

    (University of Uppsala)

Abstract

This paper studies the production of dissertations in eight research fields in the natural sciences, the social sciences and the humanities. In using doctoral dissertations it builds on De Solla Prices seminal study which used PhD dissertations as one of several indicators of scientific growth (Price, Little science, big science, 1963). Data from the ProQuest: Dissertations and Theses database covering the years 1950–2007 are used to depict historical trends, and the Gompertz function was used for analysing the data. A decline in the growth of dissertations can be seen in all fields in the mid-eighties and several fields show only a modest growth during the entire period. The growth profiles of specific disciplines could not be explained by traditional dichotomies such as pure/applied or soft/hard, but rather it seems that the age of the discipline appears to be an important factor. Thus, it is obvious that the growth of dissertations must be explained using several factors emerging both inside and outside academia. Consequently, we propose that the output of dissertations can be used as an indicator of growth, especially in fields like the humanities, where journal or article counts are less applicable.

Suggested Citation

  • Jens Peter Andersen & Björn Hammarfelt, 2011. "Price revisited: on the growth of dissertations in eight research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 371-383, August.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:2:d:10.1007_s11192-011-0408-8
    DOI: 10.1007/s11192-011-0408-8
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    1. B. M. Gupta & C. R. Karisiddappa, 2000. "Modelling the Growth of Literature in the Area of Theoretical Population Genetics," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(2), pages 321-355, October.
    2. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    3. Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2004. "Reconsidering Price's model of scientific growth: An overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 301-321, November.
    4. Ritz, Christian & Streibig, Jens C., 2005. "Bioassay Analysis Using R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i05).
    5. Michael Mabe & Mayur Amin, 2001. "Growth dynamics of scholarly and scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 147-162, April.
    6. Lundberg, Jonas, 2007. "Lifting the crown—citation z-score," Journal of Informetrics, Elsevier, vol. 1(2), pages 145-154.
    7. Loet Leydesdorff, 2009. "How are new citation‐based journal indicators adding to the bibliometric toolbox?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1327-1336, July.
    8. Chung-Souk Han & Su Kyung Lee & Mark England, 2010. "Transition to postmodern science—related scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 391-401, August.
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