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Delimiting Species without Nuclear Monophyly in Madagascar's Mouse Lemurs

Overview of attention for article published in PLOS ONE, March 2010
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Title
Delimiting Species without Nuclear Monophyly in Madagascar's Mouse Lemurs
Published in
PLOS ONE, March 2010
DOI 10.1371/journal.pone.0009883
Pubmed ID
Authors

David W. Weisrock, Rodin M. Rasoloarison, Isabella Fiorentino, José M. Ralison, Steven M. Goodman, Peter M. Kappeler, Anne D. Yoder

Abstract

Speciation begins when populations become genetically separated through a substantial reduction in gene flow, and it is at this point that a genetically cohesive set of populations attain the sole property of species: the independent evolution of a population-level lineage. The comprehensive delimitation of species within biodiversity hotspots, regardless of their level of divergence, is important for understanding the factors that drive the diversification of biota and for identifying them as targets for conservation. However, delimiting recently diverged species is challenging due to insufficient time for the differential evolution of characters--including morphological differences, reproductive isolation, and gene tree monophyly--that are typically used as evidence for separately evolving lineages.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 5 2%
United States 4 2%
Brazil 3 1%
India 2 <1%
Australia 2 <1%
United Kingdom 2 <1%
Sweden 1 <1%
Canada 1 <1%
Netherlands 1 <1%
Other 2 <1%
Unknown 203 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 25%
Student > Ph. D. Student 51 23%
Student > Master 29 13%
Professor > Associate Professor 18 8%
Student > Doctoral Student 14 6%
Other 46 20%
Unknown 11 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 160 71%
Environmental Science 19 8%
Biochemistry, Genetics and Molecular Biology 17 8%
Social Sciences 4 2%
Veterinary Science and Veterinary Medicine 2 <1%
Other 7 3%
Unknown 17 8%