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Extracting and quantifying eponyms in full-text articles

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  • Guillaume Cabanac

    (University of Toulouse)

Abstract

Eponyms are known to praise leading scientists for their contributions to science. Some are so widespread that they are even known by laypeople (e.g., Alzheimer’s disease, Darwinism). However, there is no systematic way to discover the distributions of eponyms in scientific domains. Prior work has tackled this issue but has failed to address it completely. Early attempts involved the manual labelling of all eponyms found in a few textbooks of given domains, such as chemistry. Others relied on search engines to probe bibliographic records seeking a single eponym at a time, such as Nash Equilibrium. Nonetheless, we failed to find any attempt of eponym quantification in a large volume of full-text publications. This article introduces a semi-automatic text mining approach to extracting eponyms and quantifying their use in such datasets. Candidate eponyms are matched programmatically by regular expressions, and then validated manually. As a case study, the processing of 821 recent Scientometrics articles reveals a mixture of established and emerging eponyms. The results stress the value of text mining for the rapid extraction and quantification of eponyms that may have substantial implications for research evaluation.

Suggested Citation

  • Guillaume Cabanac, 2014. "Extracting and quantifying eponyms in full-text articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1631-1645, March.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1091-8
    DOI: 10.1007/s11192-013-1091-8
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    References listed on IDEAS

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    1. Philip Ball, 2005. "Index aims for fair ranking of scientists," Nature, Nature, vol. 436(7053), pages 900-900, August.
    2. Tibor Braun, 2004. "Editorial Foreword," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 9-9, May.
    3. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    4. Leo Egghe & Ronald Rousseau, 2006. "An informetric model for the Hirsch-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 121-129, October.
    5. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(3), pages 243-243, December.
    6. Katherine W. McCain, 2012. "Assessing Obliteration by Incorporation: Issues and Caveats," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2129-2139, November.
    7. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    8. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(2), pages 129-130, November.
    9. Michael G. Banks, 2006. "An extension of the Hirsch index: Indexing scientific topics and compounds," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 161-168, October.
    10. Katherine W. McCain, 2012. "Assessing Obliteration by Incorporation: Issues and Caveats," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2129-2139, November.
    11. Katherine W. McCain, 2011. "Eponymy and Obliteration by Incorporation: The case of the “Nash Equilibrium”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1412-1424, July.
    12. Schreiber, M. & Malesios, C.C. & Psarakis, S., 2012. "Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 347-358.
    13. Rousseau, Ronald & García-Zorita, Carlos & Sanz-Casado, Elias, 2013. "The h-bubble," Journal of Informetrics, Elsevier, vol. 7(2), pages 294-300.
    14. Lowell L. Hargens, 2004. "What is Mertonian sociology of science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 63-70, May.
    15. Richard Van Noorden, 2012. "Trouble at the text mine," Nature, Nature, vol. 483(7388), pages 134-135, March.
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    Cited by:

    1. Valderrama-Zurian, J.C. & Melero-Fuentes, D. & Aleixandre-Benavent, R., 2019. "Origin, characteristics, predominance and conceptual networks of eponyms in the bibliometric literature," Journal of Informetrics, Elsevier, vol. 13(1), pages 434-448.
    2. Guillaume Cabanac, 2018. "What is the primordial reference for ...?—Redux," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 481-488, February.
    3. Antonio Cavacini, 2015. "Is the CE/BCE notation becoming a standard in scholarly literature?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1661-1668, February.

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