The woman researcher's tale: A review of bibliometric methods and results for studying gender in science.

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Title: The woman researcher's tale: A review of bibliometric methods and results for studying gender in science.
Authors: González‐Salmón, Elvira1,2 elviragonzalez@go.ugr.es, Chinchilla‐Rodríguez, Zaida3, Robinson‐Garcia, Nicolas1,2
Source: Journal of the Association for Information Science & Technology. Sep2025, Vol. 76 Issue 9, p1188-1209. 22p.
Subjects: Women, Science, Sex discrimination, Authorship, Labor mobility, Conferences & conventions, Fundraising, Bibliometrics, Information retrieval, Academic achievement, Publishing, Algorithms, COVID-19
Abstract: There has been a notable increase in bibliometric research studying gender in academia. This narrative review aims to organize and synthesize this extensive body of work to uncover new insights into gender disparities in science. We begin by analyzing key methodological elements, including gender assignment techniques, units of analysis, and causality issues. Next, we identify and categorize the main findings of the literature into three groups: differences in academia, causes behind these differences, and their primary consequences. Finally, we point out gaps in the literature and propose new lines of inquiry to address these gaps. These proposals include more rigorous gender assignment algorithms, fostering comparability of studies, exploring a broader range of topics, and improving the interpretability and context of results when studying gender. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: The woman researcher's tale: A review of bibliometric methods and results for studying gender in science.
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  Data: <searchLink fieldCode="AR" term="%22González‐Salmón%2C+Elvira%22">González‐Salmón, Elvira</searchLink><relatesTo>1,2</relatesTo><i> elviragonzalez@go.ugr.es</i><br /><searchLink fieldCode="AR" term="%22Chinchilla‐Rodríguez%2C+Zaida%22">Chinchilla‐Rodríguez, Zaida</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Robinson‐Garcia%2C+Nicolas%22">Robinson‐Garcia, Nicolas</searchLink><relatesTo>1,2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Association+for+Information+Science+%26+Technology%22">Journal of the Association for Information Science & Technology</searchLink>. Sep2025, Vol. 76 Issue 9, p1188-1209. 22p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Women%22">Women</searchLink><br /><searchLink fieldCode="DE" term="%22Science%22">Science</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+discrimination%22">Sex discrimination</searchLink><br /><searchLink fieldCode="DE" term="%22Authorship%22">Authorship</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+mobility%22">Labor mobility</searchLink><br /><searchLink fieldCode="DE" term="%22Conferences+%26+conventions%22">Conferences & conventions</searchLink><br /><searchLink fieldCode="DE" term="%22Fundraising%22">Fundraising</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Publishing%22">Publishing</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: There has been a notable increase in bibliometric research studying gender in academia. This narrative review aims to organize and synthesize this extensive body of work to uncover new insights into gender disparities in science. We begin by analyzing key methodological elements, including gender assignment techniques, units of analysis, and causality issues. Next, we identify and categorize the main findings of the literature into three groups: differences in academia, causes behind these differences, and their primary consequences. Finally, we point out gaps in the literature and propose new lines of inquiry to address these gaps. These proposals include more rigorous gender assignment algorithms, fostering comparability of studies, exploring a broader range of topics, and improving the interpretability and context of results when studying gender. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/asi.25012
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 1188
    Subjects:
      – SubjectFull: Women
        Type: general
      – SubjectFull: Science
        Type: general
      – SubjectFull: Sex discrimination
        Type: general
      – SubjectFull: Authorship
        Type: general
      – SubjectFull: Labor mobility
        Type: general
      – SubjectFull: Conferences & conventions
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      – SubjectFull: Fundraising
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Information retrieval
        Type: general
      – SubjectFull: Academic achievement
        Type: general
      – SubjectFull: Publishing
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: COVID-19
        Type: general
    Titles:
      – TitleFull: The woman researcher's tale: A review of bibliometric methods and results for studying gender in science.
        Type: main
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          Name:
            NameFull: González‐Salmón, Elvira
      – PersonEntity:
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            NameFull: Chinchilla‐Rodríguez, Zaida
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            NameFull: Robinson‐Garcia, Nicolas
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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