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Fine-scaled human genetic structure revealed by SNP microarrays

Overview of attention for article published in Genome Research, May 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users
wikipedia
2 Wikipedia pages
googleplus
5 Google+ users
video
2 YouTube creators

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
151 Mendeley
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4 CiteULike
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Title
Fine-scaled human genetic structure revealed by SNP microarrays
Published in
Genome Research, May 2009
DOI 10.1101/gr.085589.108
Pubmed ID
Authors

Jinchuan Xing, W. Scott Watkins, David J. Witherspoon, Yuhua Zhang, Stephen L. Guthery, Rangaswamy Thara, Bryan J. Mowry, Kazima Bulayeva, Robert B. Weiss, Lynn B. Jorde

Abstract

We report an analysis of more than 240,000 loci genotyped using the Affymetrix SNP microarray in 554 individuals from 27 worldwide populations in Africa, Asia, and Europe. To provide a more extensive and complete sampling of human genetic variation, we have included caste and tribal samples from two states in South India, Daghestanis from eastern Europe, and the Iban from Malaysia. Consistent with observations made by Charles Darwin, our results highlight shared variation among human populations and demonstrate that much genetic variation is geographically continuous. At the same time, principal components analyses reveal discernible genetic differentiation among almost all identified populations in our sample, and in most cases, individuals can be clearly assigned to defined populations on the basis of SNP genotypes. All individuals are accurately classified into continental groups using a model-based clustering algorithm, but between closely related populations, genetic and self-classifications conflict for some individuals. The 250K data permitted high-level resolution of genetic variation among Indian caste and tribal populations and between highland and lowland Daghestani populations. In particular, upper-caste individuals from Tamil Nadu and Andhra Pradesh form one defined group, lower-caste individuals from these two states form another, and the tribal Irula samples form a third. Our results emphasize the correlation of genetic and geographic distances and highlight other elements, including social factors that have contributed to population structure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
United Kingdom 4 3%
Korea, Republic of 2 1%
Netherlands 1 <1%
Uruguay 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Finland 1 <1%
Other 6 4%
Unknown 127 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 24%
Student > Ph. D. Student 28 19%
Professor 14 9%
Student > Master 14 9%
Professor > Associate Professor 10 7%
Other 30 20%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 83 55%
Biochemistry, Genetics and Molecular Biology 21 14%
Mathematics 6 4%
Medicine and Dentistry 5 3%
Psychology 4 3%
Other 10 7%
Unknown 22 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 12 July 2023.
All research outputs
#1,397,139
of 25,374,917 outputs
Outputs from Genome Research
#597
of 4,425 outputs
Outputs of similar age
#3,697
of 104,031 outputs
Outputs of similar age from Genome Research
#6
of 46 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done well, scoring higher than 86% 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 104,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.