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Inference of human continental origin and admixture proportions using a highly discriminative ancestry informative 41-SNP panel

Overview of attention for article published in Investigative Genetics, July 2013
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Citations

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Title
Inference of human continental origin and admixture proportions using a highly discriminative ancestry informative 41-SNP panel
Published in
Investigative Genetics, July 2013
DOI 10.1186/2041-2223-4-13
Pubmed ID
Authors

Caroline M Nievergelt, Adam X Maihofer, Tatyana Shekhtman, Ondrej Libiger, Xudong Wang, Kenneth K Kidd, Judith R Kidd

Abstract

Accurate determination of genetic ancestry is of high interest for many areas such as biomedical research, personal genomics and forensics. It remains an important topic in genetic association studies, as it has been shown that population stratification, if not appropriately considered, can lead to false-positive and -negative results. While large association studies typically extract ancestry information from available genome-wide SNP genotypes, many important clinical data sets on rare phenotypes and historical collections assembled before the GWAS area are in need of a feasible method (i.e., ease of genotyping, small number of markers) to infer the geographic origin and potential admixture of the study subjects. Here we report on the development, application and limitations of a small, multiplexable ancestry informative marker (AIM) panel of SNPs (or AISNP) developed specifically for this purpose.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Germany 1 1%
South Africa 1 1%
Denmark 1 1%
Spain 1 1%
United States 1 1%
Unknown 91 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 15 15%
Student > Master 12 12%
Other 7 7%
Student > Bachelor 6 6%
Other 9 9%
Unknown 20 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 38%
Biochemistry, Genetics and Molecular Biology 22 23%
Medicine and Dentistry 4 4%
Computer Science 4 4%
Neuroscience 2 2%
Other 7 7%
Unknown 21 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 July 2013.
All research outputs
#15,170,530
of 25,374,917 outputs
Outputs from Investigative Genetics
#75
of 94 outputs
Outputs of similar age
#112,925
of 206,712 outputs
Outputs of similar age from Investigative Genetics
#6
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 94 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 206,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.