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A measure of class concentration in bibliometrics

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  • Allan D. Pratt

Abstract

An index of concentration for rank‐frequency distributions is proposed which permits comparison of subject and journal concentration in various fields. A mathematical model of random dispersion (the Whit‐worth distribution) of articles is suggested. Applications of the measure to several different aspects of bibliometrics are suggested. The measure holds some promise of providing a common measure by which to compare the large number of specific usage and citation studies already completed, and providing a point of departure for new ones.

Suggested Citation

  • Allan D. Pratt, 1977. "A measure of class concentration in bibliometrics," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 28(5), pages 285-292, September.
    • Handle: RePEc:bla:jamest:v:28:y:1977:i:5:p:285-292
    DOI: 10.1002/asi.4630280508
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    Cited by:

    1. Costas, Rodrigo & van Leeuwen, Thed N. & van Raan, Anthony F.J., 2013. "Effects of the durability of scientific literature at the group level: Case study of chemistry research groups in the Netherlands," Research Policy, Elsevier, vol. 42(4), pages 886-894.
    2. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    3. Fernanda Morillo & María Bordons & Isabel Gómez, 2001. "An approach to interdisciplinarity through bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 203-222, April.
    4. Leo Egghe & Ronald Rousseau, 2001. "Symmetric and Asymmetric Theory of Relative Concentration and Applications," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 261-290, October.
    5. Fuyuki Yoshikane & Takafumi Suzuki, 2014. "Diversity of fields in patent citations: synchronic and diachronic changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1879-1897, March.
    6. Meijun Liu & Dongbo Shi & Jiang Li, 2017. "Double-edged sword of interdisciplinary knowledge flow from hard sciences to humanities and social sciences: Evidence from China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-16, September.
    7. Kun Lu & Isola Ajiferuke & Dietmar Wolfram, 2014. "Extending citer analysis to journal impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 245-260, July.
    8. Li, Jiang & Shi, Dongbo & Zhao, Star X. & Ye, Fred Y., 2014. "A study of the “heartbeat spectra” for “sleeping beauties”," Journal of Informetrics, Elsevier, vol. 8(3), pages 493-502.
    9. Fuyuki Yoshikane & Yutaka Suzuki & Keita Tsuji, 2012. "Analysis of the relationship between citation frequency of patents and diversity of their backward citations for Japanese patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 721-733, September.
    10. Chi, Pei-Shan, 2016. "Differing disciplinary citation concentration patterns of book and journal literature?," Journal of Informetrics, Elsevier, vol. 10(3), pages 814-829.
    11. Fuyuki Yoshikane & Kyo Kageura, 2004. "Comparative analysis of coauthorship networks of different domains: The growth and change of networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 435-446, August.
    12. Jarneving, Bo, 2007. "Complete graphs and bibliographic coupling: A test of the applicability of bibliographic coupling for the identification of cognitive cores on the field level," Journal of Informetrics, Elsevier, vol. 1(4), pages 338-356.
    13. Sander Zwanenburg & Maryam Nakhoda & Peter Whigham, 2022. "Toward greater consistency and validity in measuring interdisciplinarity: a systematic and conceptual evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7769-7788, December.
    14. Isabel Gómez & María Bordons & M. Teresa Fernández & Fernanda Morillo, 2009. "Structure and research performance of Spanish universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 131-146, April.
    15. Díaz-Faes, Adrián A. & Costas, Rodrigo & Galindo, M. Purificación & Bordons, María, 2015. "Unravelling the performance of individual scholars: Use of Canonical Biplot analysis to explore the performance of scientists by academic rank and scientific field," Journal of Informetrics, Elsevier, vol. 9(4), pages 722-733.

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