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Markers that discriminate between European and African ancestry show limited variation within Africa

Overview of attention for article published in Human Genetics, September 2002
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 X user
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4 Wikipedia pages

Citations

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44 Dimensions

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33 Mendeley
Title
Markers that discriminate between European and African ancestry show limited variation within Africa
Published in
Human Genetics, September 2002
DOI 10.1007/s00439-002-0818-z
Pubmed ID
Authors

Heather E. Collins-Schramm, Rick A. Kittles, Darwin J. Operario, James L. Weber, Lindsey A. Criswell, Richard S. Cooper, Michael F. Seldin

Abstract

Markers informative for ancestry are necessary for admixture mapping and improving case-control association analyses. In particular, African Americans are an admixed population for which genetic studies require accurately evaluating admixture. This will require markers that can be used in African Americans to determine if a given genomic region is of European or African ancestry. This report shows that, despite studies indicating high intra-African sequence variation, markers with large inter-ethnic differences have only small variations in allele distribution among divergent African populations and should be valuable for evaluating admixture in complex disease genetic studies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Canada 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Professor 4 12%
Other 3 9%
Student > Master 3 9%
Other 7 21%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 33%
Medicine and Dentistry 6 18%
Biochemistry, Genetics and Molecular Biology 4 12%
Arts and Humanities 2 6%
Neuroscience 2 6%
Other 5 15%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2023.
All research outputs
#7,355,930
of 25,374,647 outputs
Outputs from Human Genetics
#881
of 2,957 outputs
Outputs of similar age
#15,228
of 49,135 outputs
Outputs of similar age from Human Genetics
#11
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 49,135 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.