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Cited by 227

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Queer in STEM: Workplace Experiences Reported in a National Survey of LGBTQA Individuals in Science, Technology, Engineering, and Mathematics Careers

Yoder, Jeremy B., Mattheis, Allison·2016·Journal of Homosexuality

Abstract

A survey of individuals working in science, technology, engineering, and mathematics (STEM) fields who identify as lesbian, gay, bisexual, trans*, queer, or asexual (LGTBQA) was administered online in 2013. Participants completed a 58-item questionnaire to report their professional areas of expertise, levels of education, geographic location, and gender and sexual identities and rated their work and social communities as welcoming or hostile to queer identities. An analysis of 1,427 responses to this survey provided the first broad portrait of this population, and it revealed trends related to workplace practices that can inform efforts to improve queer inclusivity in STEM workplaces.

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Registry

Crossref · 10.1080/00918369.2015.1078632

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Metadata

Authors
Yoder, J. B., & Mattheis, A.
Venue
Journal of Homosexuality
Published
2015-08-04
Volume
63
Issue
1
Pages
1-27
ISSN
  • 0091-8369 (ISSN-L)
  • 1540-3602
OpenAlex
W1515231690
Cited by
227
References
7
FWCI
17.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Queer in STEM: Workplace Experiences Reported in a National Survey of LGBTQA Individuals in Science, Technology, Engineering, and Mathematics Careers. https://app.cochat.ai/papers/10.1080/00918369.2015.1078632
The paper
Yoder, J. B., & Mattheis, A. (2016). Queer in STEM: Workplace Experiences Reported in a National Survey of LGBTQA Individuals in Science, Technology, Engineering, and Mathematics Careers. Journal of Homosexuality. https://doi.org/10.1080/00918369.2015.1078632

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.