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Rethinking bibliometric data concerning gender studies: a response to Söderlund and Madison

Author

Listed:
  • Silje Lundgren

    (Linköping University)

  • Margrit Shildrick

    (Linköping University)

  • David Lawrence

    (Linköping University)

Abstract

Comment to the article ‘Characteristics of gender studies publications: A bibliometric analysis based on a Swedish population database’ by Therese Söderlund and Guy Madison (Scientometrics, 2015). From the position of relevant expertise within gender studies and bibliometrics, this text offers a critique of the present study and some suggestions of alternative ways forward. It analyses (1) the object of study of the article (the terms used to denominate the field, keywords and methods to make sample selection), (2) technical issues and the question of language in relation to international citations and impact factor, and (3) the views presented in the article regarding gender studies and political ideology.

Suggested Citation

  • Silje Lundgren & Margrit Shildrick & David Lawrence, 2015. "Rethinking bibliometric data concerning gender studies: a response to Söderlund and Madison," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1389-1398, December.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1767-3
    DOI: 10.1007/s11192-015-1767-3
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    References listed on IDEAS

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    1. Therese Söderlund & Guy Madison, 2015. "Characteristics of gender studies publications: a bibliometric analysis based on a Swedish population database," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1347-1387, December.
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    Cited by:

    1. Guy Madison & Therese Söderlund, 2016. "Can gender studies be studied? Reply to comments on Söderlund and Madison," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 329-335, July.
    2. Nina Lykke, 2018. "Can’t bibliometric analysts do better? How quality assessment without field expertise does not work," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 655-666, October.
    3. Aleksandra Cislak & Magdalena Formanowicz & Tamar Saguy, 2018. "Bias against research on gender bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 189-200, April.

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