Bias amplification in gender, gender identity, and geographical affiliation (2022)
- Authors:
- Autor USP: SILVA, THEREZA AMÉLIA SOARES DA - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1021/acs.jcim.2c00533
- Subjects: PRECONCEITO; PESQUISA CIENTÍFICA
- Keywords: Chemoinformatics; Computational chemistry; Students; Testing and assessment; Theoretical and computational chemistry
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2022
- Source:
- Título do periódico: Journal of Chemical Information and Modeling
- ISSN: 1549-9596
- Volume/Número/Paginação/Ano: v. 62, n. 24, p. 6297-6301, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
CASCELLA, Michele e SILVA, Thereza Amélia Soares da. Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, v. 62, n. 24, p. 6297-6301, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00533. Acesso em: 18 abr. 2024. -
APA
Cascella, M., & Silva, T. A. S. da. (2022). Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, 62( 24), 6297-6301. doi:10.1021/acs.jcim.2c00533 -
NLM
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533 -
Vancouver
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533 - Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial]
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Informações sobre o DOI: 10.1021/acs.jcim.2c00533 (Fonte: oaDOI API)
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