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The “own-language preference”: Measures of relative language self-citation

Author

Listed:
  • L. Egghe

    (LUC
    UIA, IBW)

  • R. Rousseau

    (LUC
    UIA, IBW)

  • M. Yitzhaki

    (Bar-Ilan University)

Abstract

It has already been pointed out that the foreign language barrier is probably the greatest impediment to the free flow and transfer of information. This barrier is even growing as scientists of more and more countries publish in their own languages. Almost all studies addressing the language barrier problem were conducted from an Anglo-Saxon perspective, limiting their scope to English-language sources or English speakers. Little research has been devoted to studying and measuring language preference among non-English-speaking scholars. This article reviews measures proposed in former studies such as the “relative own-language preference” indicator, and the “straight odds ratio”, pointing out their advantages and drawbacks. Two new refined measures (in both “raw” and normalised versions) are offered, claiming to be free of these drawbacks, and thus enabling a better and more reliable comparison between journals of different languages. Practical use of the proposed measures is illustrated by applying them to findings of a former language-citation study done on nine sociology journals.

Suggested Citation

  • L. Egghe & R. Rousseau & M. Yitzhaki, 1999. "The “own-language preference”: Measures of relative language self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(2), pages 217-232, June.
    • Handle: RePEc:spr:scient:v:45:y:1999:i:2:d:10.1007_bf02458434
    DOI: 10.1007/BF02458434
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    Cited by:

    1. Maxim N. Kotsemir & Tatiana E. Kuznetsova & Elena G. Nasybulina & Anna G. Pikalova, 2015. "Empirical Analysis of Multinational S&T Collaboration Priorities –The Case of Russia," HSE Working papers WP BRP 53/STI/2015, National Research University Higher School of Economics.
    2. Victoria Bakare & Grant Lewison, 2017. "Country over-citation ratios," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1199-1207, November.
    3. Liu, Weishu & Hu, Guangyuan & Tang, Li, 2018. "Missing author address information in Web of Science—An explorative study," Journal of Informetrics, Elsevier, vol. 12(3), pages 985-997.
    4. Leo Egghe & Ronald Rousseau, 2004. "How to measure own-group preference? A novel approach to a sociometric problem," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 233-252, February.
    5. Maxim Kotsemir, 2012. "Dynamics of Russian and World Science through the Prism of International Publications," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(1), pages 38-58.
    6. Zaida Chinchilla-Rodríguez & Grisel Zacca-González & Benjamín Vargas-Quesada & Félix Moya-Anegón, 2015. "Latin American scientific output in Public Health: combined analysis using bibliometric, socioeconomic and health indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 609-628, January.
    7. Ed J. Rinia & Thed N. van Leeuwen & Eppo E. W. Bruins & Hendrik G. van Vuren & Anthony F. J. van Raan, 2002. "Measuring knowledge transfer between fields of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 347-362, July.

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