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Extensive population genetic structure in the giraffe

Overview of attention for article published in BMC Biology, December 2007
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Title
Extensive population genetic structure in the giraffe
Published in
BMC Biology, December 2007
DOI 10.1186/1741-7007-5-57
Pubmed ID
Authors

David M Brown, Rick A Brenneman, Klaus-Peter Koepfli, John P Pollinger, Borja Milá, Nicholas J Georgiadis, Edward E Louis, Gregory F Grether, David K Jacobs, Robert K Wayne

Abstract

A central question in the evolutionary diversification of large, widespread, mobile mammals is how substantial differentiation can arise, particularly in the absence of topographic or habitat barriers to dispersal. All extant giraffes (Giraffa camelopardalis) are currently considered to represent a single species classified into multiple subspecies. However, geographic variation in traits such as pelage pattern is clearly evident across the range in sub-Saharan Africa and abrupt transition zones between different pelage types are typically not associated with extrinsic barriers to gene flow, suggesting reproductive isolation.

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X Demographics

The data shown below were collected from the profiles of 124 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 574 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
Brazil 8 1%
France 4 <1%
United Kingdom 3 <1%
Germany 2 <1%
South Africa 2 <1%
Czechia 2 <1%
Norway 1 <1%
Portugal 1 <1%
Other 6 1%
Unknown 535 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 106 18%
Researcher 97 17%
Student > Master 81 14%
Student > Bachelor 75 13%
Student > Postgraduate 36 6%
Other 121 21%
Unknown 58 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 364 63%
Environmental Science 50 9%
Biochemistry, Genetics and Molecular Biology 38 7%
Earth and Planetary Sciences 11 2%
Veterinary Science and Veterinary Medicine 10 2%
Other 32 6%
Unknown 69 12%