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African Perceptions of Female Attractiveness

Overview of attention for article published in PLOS ONE, October 2012
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Title
African Perceptions of Female Attractiveness
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0048116
Pubmed ID
Authors

Vinet Coetzee, Stella J. Faerber, Jaco M. Greeff, Carmen E. Lefevre, Daniel E. Re, David I. Perrett

Abstract

Little is known about mate choice preferences outside Western, educated, industrialised, rich and democratic societies, even though these Western populations may be particularly unrepresentative of human populations. To our knowledge, this is the first study to test which facial cues contribute to African perceptions of African female attractiveness and also the first study to test the combined role of facial adiposity, skin colour (lightness, yellowness and redness), skin homogeneity and youthfulness in the facial attractiveness preferences of any population. Results show that youthfulness, skin colour, skin homogeneity and facial adiposity significantly and independently predict attractiveness in female African faces. Younger, thinner women with a lighter, yellower skin colour and a more homogenous skin tone are considered more attractive. These findings provide a more global perspective on human mate choice and point to a universal role for these four facial cues in female facial attractiveness.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Switzerland 1 <1%
Italy 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Romania 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 129 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 19%
Researcher 18 13%
Student > Master 16 12%
Student > Bachelor 12 9%
Other 10 7%
Other 37 27%
Unknown 18 13%
Readers by discipline Count As %
Psychology 39 28%
Agricultural and Biological Sciences 28 20%
Medicine and Dentistry 10 7%
Social Sciences 6 4%
Sports and Recreations 4 3%
Other 26 19%
Unknown 24 18%