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Genome-wide signatures of male-mediated migration shaping the Indian gene pool

Overview of attention for article published in Journal of Human Genetics, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
8 X users
wikipedia
2 Wikipedia pages
reddit
2 Redditors

Readers on

mendeley
44 Mendeley
citeulike
2 CiteULike
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Article details
Title
Genome-wide signatures of male-mediated migration shaping the Indian gene pool
Published in
Journal of Human Genetics, May 2015
DOI 10.1038/jhg.2015.51
Pubmed ID
Authors
Abstract

Multiple questions relating to contributions of cultural and demographical factors in the process of human geographical dispersal remain largely unanswered. India, a land of early human settlement and the resulting diversity is a good place to look for some of the answers. In this study, we explored the genetic structure of India using a diverse panel of 78 males genotyped using the GenoChip. Their genome-wide single-nucleotide polymorphism (SNP) diversity was examined in the context of various covariates that influence Indian gene pool. Admixture analysis of genome-wide SNP data showed high proportion of the Southwest Asian component in all of the Indian samples. Hierarchical clustering based on admixture proportions revealed seven distinct clusters correlating to geographical and linguistic affiliations. Convex hull overlay of Y-chromosomal haplogroups on the genome-wide SNP principal component analysis brought out distinct non-overlapping polygons of F*-M89, H*-M69, L1-M27, O2a-M95 and O3a3c1-M117, suggesting a male-mediated migration and expansion of the Indian gene pool. Lack of similar correlation with mitochondrial DNA clades indicated a shared genetic ancestry of females. We suggest that ancient male-mediated migratory events and settlement in various regional niches led to the present day scenario and peopling of India.Journal of Human Genetics advance online publication, 21 May 2015; doi:10.1038/jhg.2015.51.

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Philippines 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 27%
Student > Ph. D. Student 6 14%
Student > Master 5 11%
Student > Doctoral Student 3 7%
Librarian 2 5%
Other 7 16%
Unknown 9 20%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 27%
Agricultural and Biological Sciences 11 25%
Computer Science 2 5%
Social Sciences 2 5%
Philosophy 1 2%
Other 6 14%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 22 June 2024.
All research outputs
#2,518,437
of 32,192,432 outputs
Outputs from Journal of Human Genetics
#101
of 1,983 outputs
Outputs of similar age
#26,481
of 298,556 outputs
Outputs of similar age from Journal of Human Genetics
#4
of 40 outputs
Altmetric has tracked 32,192,432 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,983 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 94% 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 298,556 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 91% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.