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Cited by 575

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Evolutionary and ecological approaches to the study of personality

Open access
Réale, Denis, Dingemanse, Niels J., Kazem, Anahita J. N., Wright, Jonathan·2010·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

This introduction to the themed issue on Evolutionary and ecological approaches to the study of personality provides an overview of conceptual, theoretical and methodological progress in research on animal personalities over the last decade, and places the contributions to this volume in context. The issue has three main goals. First, we aimed to bring together theoreticians to contribute to the development of models providing adaptive explanations for animal personality that could guide empiricists, and stimulate exchange of ideas between the two groups of researchers. Second, we aimed to stimulate cross-fertilization between different scientific fields that study personality, namely behavioural ecology, psychology, genomics, quantitative genetics, neuroendocrinology and developmental biology. Third, we aimed to foster the application of an evolutionary framework to the study of personality.

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Metadata

Authors
Réale, D., Dingemanse, N. J., Kazem, A. J. N., & Wright, J.
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2010-12-27
Volume
365
Issue
1560
Pages
3937-3946
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2170542651
Cited by
575
References
4
FWCI
29.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Evolutionary and ecological approaches to the study of personality. https://app.cochat.ai/papers/10.1098/rstb.2010.0222
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Réale, D., Dingemanse, N. J., Kazem, A. J. N., & Wright, J. (2010). Evolutionary and ecological approaches to the study of personality. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2010.0222

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