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Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity

Author

Listed:
  • Alexis-Michel Mugabushaka

    (European Research Council Executive Agency)

  • Anthi Kyriakou

    (European Research Council Executive Agency
    Farr Institute @ Scotland)

  • Theo Papazoglou

    (European Research Council Executive Agency)

Abstract

In bibliometrics, interdisciplinarity is often measured in terms of the “diversity” of research areas in the references that an article cites. The standard indicators used are borrowed mostly from other research areas, notably from ecology (biodiversity measures) and economics (concentration measures). This paper argues that while the measures used in biodiversity research have evolved over time, the interdisciplinarity indicators used in bibliometrics can be mapped to a subset of biodiversity measures from the first and second generations. We discuss the third generation of biodiversity measures and especially the Leinster–Cobbold diversity indices (LCDiv) (Leinster and Cobbold in Ecology 93(3):477–489, 2012). We present a case study based on a previously published dataset of interdisciplinarity study in the field of bio-nano science (Rafols and Meyer in Scientometrics 82(2):263–287, 2010). We replicate the findings of this study to show that the various interdisciplinarity measures are in fact special cases of the LCDiv. The paper discusses some interesting properties of the LCDiv which make them more appealing in the study of disciplinary diversity than the standard interdisciplinary diversity indicators.

Suggested Citation

  • Alexis-Michel Mugabushaka & Anthi Kyriakou & Theo Papazoglou, 2016. "Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 593-607, May.
  • Handle: RePEc:spr:scient:v:107:y:2016:i:2:d:10.1007_s11192-016-1865-x
    DOI: 10.1007/s11192-016-1865-x
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    References listed on IDEAS

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    1. Vincent Larivière & Yves Gingras, 2010. "On the relationship between interdisciplinarity and scientific impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(1), pages 126-131, January.
    2. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    3. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    4. Alan L Porter & J David Roessner & Alex S Cohen & Marty Perreault, 2006. "Interdisciplinary research: meaning, metrics and nurture," Research Evaluation, Oxford University Press, vol. 15(3), pages 187-195, December.
    5. Huutoniemi, Katri & Klein, Julie Thompson & Bruun, Henrik & Hukkinen, Janne, 2010. "Analyzing interdisciplinarity: Typology and indicators," Research Policy, Elsevier, vol. 39(1), pages 79-88, February.
    6. Adelman, M A, 1969. "Comment on the "H" Concentration Measure as a Numbers-Equivalent," The Review of Economics and Statistics, MIT Press, vol. 51(1), pages 99-101, February.
    7. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
    8. Vincent Larivière & Yves Gingras, 2010. "On the relationship between interdisciplinarity and scientific impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(1), pages 126-131, January.
    9. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    11. Jost, Lou, 2009. "Mismeasuring biological diversity: Response to Hoffmann and Hoffmann (2008)," Ecological Economics, Elsevier, vol. 68(4), pages 925-928, February.
    12. David Roessner & Alan L. Porter & Nancy J. Nersessian & Stephen Carley, 2013. "Validating indicators of interdisciplinarity: linking bibliometric measures to studies of engineering research labs," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 439-468, February.
    13. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    14. Alan L Porter & David J Roessner & Anne E Heberger, 2008. "How interdisciplinary is a given body of research?," Research Evaluation, Oxford University Press, vol. 17(4), pages 273-282, December.
    15. Wolfgang Glänzel & András Schubert, 2003. "A new classification scheme of science fields and subfields designed for scientometric evaluation purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 357-367, March.
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