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Do women in science form more diverse research networks than men? An analysis of Spanish biomedical scientists

Authors: Adrián A. Díaz-Faes; Paula Otero-Hermida; Müge Ozman; Pablo D’Este;
APC: 1,396.43 EUR

Do women in science form more diverse research networks than men? An analysis of Spanish biomedical scientists

Abstract

This paper examines the role of gender in the formation of research collaboration networks, by investigating the composition of networks through connections to diverse professional communities. Drawing on an ego network approach, we examine gender differences among researchers' networks in terms of partner diversity, openness and brokerage roles. We use data from 897 valid responses to a questionnaire administered to biomedical scientists in Spain, which enquired into multiple aspects of personal research networks. Our findings show that women form more diverse networks and brokerage triads than men. This result is reinforced if we consider the most heterogeneous brokerage triads in terms of professional differences among network partners (i.e., consultant and liaison). Our results suggest that women are more likely to access non-redundant knowledge and richer research perspectives via their knowledge-flow intermediary roles. This research suggests the need for analyses of gender and networks that go beyond a gender-to-gender approach.

Countries
Spain, France
Keywords

Male, Biomedical Research, [SHS.SOCIO] Humanities and Social Sciences/Sociology, Science, Q, Sustainable Development Goals, R, Research Personnel, Knowledge, Health Occupations, Spain, Medicine, Humans, Female, [SHS] Humanities and Social Sciences, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, [SHS.GESTION] Humanities and Social Sciences/Business administration, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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10
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105
604
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gold