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  4. Do females create higher impact research? Scopus citations and Mendeley readers for articles from five countries
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Do females create higher impact research? Scopus citations and Mendeley readers for articles from five countries

Publication type
journal article
Publication date
2018
Author(s)
Thelwall, M.
Language
English
Keywords

Altmetrics

Gender

Mendeley

Citation Analysis

View point(s)
Student Level
Discipline(s)

Economics & Business

Engineering

Health Sciences

Hepatology

Humanities

Mathematics

Microbiology

Orthopaedics

Physical Medicine & R...

Sociology

Sports Medicine

STEM

Virology

Geographical area

India

Middle East

Spain

UK

USA

Abstract
There are known gender imbalances in participation in scientific fields, from female dominance of nursing to male dominance of mathematics. It is not clear whether there is also a citation imbalance, with some claiming that male-authored research tends to be more cited. No previous study has assessed gender differences in the readers of academic research on a large scale, however. In response, this article assesses whether there are gender differences in the average citations and/or Mendeley readers of academic publications. Field normalised logged Scopus citations and Mendeley readers from mid-2018 for articles published in 2014 were investigated for articles with first authors from India, Spain, Turkey, the UK and the USA in up to 251 fields with at least 50 male and female authors. Although female-authored research is less cited in Turkey (-4.0%) and India (-3.6%), it is marginally more cited in Spain (0.4%), the UK (0.4%), and the USA (0.2%). Female-authored research has fewer Mendeley readers in India (-1.1%) but more in Spain (1.4%), Turkey (1.1%), the UK (2.7%) and the USA (3.0%). Thus, whilst there may be little practical gender difference in citation impact in countries with mature science systems, the higher female readership impact suggests a wider audience for female-authored research. The results also show that the conclusions from a gender analysis depend on the field normalisation method. A theoretically informed decision must therefore be made about which normalisation to use. The results also suggest that arithmetic mean-based field normalisation is favourable to males. © 2018 Elsevier Ltd. All rights reserved.
Journal
Journal of Informetrics
ISSN
1751-1577
DOI
10.1016/j.joi.2018.08.005
Volume
12
Issue
4
Pagination
1031-1041
https://libkey.io/libraries/2561/articles/229285569/full-text-file?utm_source=api_2667&allow_speedbump=true
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