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Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
A Pre-registered Meta-analysis Based on Three Empirical Studies Reveals No Association Between Prenatal (Amniotic) Cortisol Exposure and Fluctuating Asymmetry in Human Infants

Participantes na publicação
Will Bushell (Author)
Martin Heil (Author)
Manuel C. Gomes (Author)
Lisa M. Körner (Author)
Judith Lawrenz (Author)
Nora K. Schaal (Author)
Gareth Richards (Author)

Data de Publicação
2021-01-15

Suporte
Evolutionary Biology

Identificadores da Publicação

Editora
Springer Science and Business Media LLC

Volume
48
Fascículo
1

Número de Páginas
13
Página Inicial
54
Página Final
66

Identificadores do Documento
DOI - https://doi.org/10.1007/s11692-020-09523-9
URL - http://dx.doi.org/10.1007/s11692-020-09523-9

Identificadores de Qualidade
SCIMAGO Q1 (2021) - 1.031 - Ecology, Evolution, Behavior and Systematics


Exportar referência

APA
Will Bushell, Martin Heil, Manuel C. Gomes, Lisa M. Körner, Judith Lawrenz, Nora K. Schaal, Gareth Richards, (2021). A Pre-registered Meta-analysis Based on Three Empirical Studies Reveals No Association Between Prenatal (Amniotic) Cortisol Exposure and Fluctuating Asymmetry in Human Infants. Evolutionary Biology, 48, 54-66. http://dx.doi.org/10.1007/s11692-020-09523-9

IEEE
Will Bushell, Martin Heil, Manuel C. Gomes, Lisa M. Körner, Judith Lawrenz, Nora K. Schaal, Gareth Richards, "A Pre-registered Meta-analysis Based on Three Empirical Studies Reveals No Association Between Prenatal (Amniotic) Cortisol Exposure and Fluctuating Asymmetry in Human Infants" in Evolutionary Biology, vol. 48, pp. 54-66, 2021. 10.1007/s11692-020-09523-9

BIBTEX
@article{52085, author = {Will Bushell and Martin Heil and Manuel C. Gomes and Lisa M. Körner and Judith Lawrenz and Nora K. Schaal and Gareth Richards}, title = {A Pre-registered Meta-analysis Based on Three Empirical Studies Reveals No Association Between Prenatal (Amniotic) Cortisol Exposure and Fluctuating Asymmetry in Human Infants}, journal = {Evolutionary Biology}, year = 2021, pages = {54-66}, volume = 48 }