↓ Skip to main content

PLOS

Evaluation of Group Genetic Ancestry of Populations from Philadelphia and Dakar in the Context of Sex-Biased Admixture in the Americas

Overview of attention for article published in PLOS ONE, November 2009
Altmetric Badge

Mentioned by

twitter
4 X users
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
47 Mendeley
Title
Evaluation of Group Genetic Ancestry of Populations from Philadelphia and Dakar in the Context of Sex-Biased Admixture in the Americas
Published in
PLOS ONE, November 2009
DOI 10.1371/journal.pone.0007842
Pubmed ID
Authors

Klara Stefflova, Matthew C. Dulik, Athma A. Pai, Amy H. Walker, Charnita M. Zeigler-Johnson, Serigne M. Gueye, Theodore G. Schurr, Timothy R. Rebbeck

Abstract

Population history can be reflected in group genetic ancestry, where genomic variation captured by the mitochondrial DNA (mtDNA) and non-recombining portion of the Y chromosome (NRY) can separate female- and male-specific admixture processes. Genetic ancestry may influence genetic association studies due to differences in individual admixture within recently admixed populations like African Americans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 13%
Brazil 2 4%
France 1 2%
Unknown 38 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 8 17%
Student > Doctoral Student 5 11%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Other 10 21%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 51%
Biochemistry, Genetics and Molecular Biology 8 17%
Medicine and Dentistry 5 11%
Social Sciences 3 6%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 9%
Unknown 2 4%