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Afghan Hindu Kush: Where Eurasian Sub-Continent Gene Flows Converge

Overview of attention for article published in PLOS ONE, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
28 X users
facebook
3 Facebook pages
wikipedia
42 Wikipedia pages

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
3 CiteULike
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Title
Afghan Hindu Kush: Where Eurasian Sub-Continent Gene Flows Converge
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0076748
Pubmed ID
Authors

Julie Di Cristofaro, Erwan Pennarun, Stéphane Mazières, Natalie M. Myres, Alice A. Lin, Shah Aga Temori, Mait Metspalu, Ene Metspalu, Michael Witzel, Roy J. King, Peter A. Underhill, Richard Villems, Jacques Chiaroni

Abstract

Despite being located at the crossroads of Asia, genetics of the Afghanistan populations have been largely overlooked. It is currently inhabited by five major ethnic populations: Pashtun, Tajik, Hazara, Uzbek and Turkmen. Here we present autosomal from a subset of our samples, mitochondrial and Y- chromosome data from over 500 Afghan samples among these 5 ethnic groups. This Afghan data was supplemented with the same Y-chromosome analyses of samples from Iran, Kyrgyzstan, Mongolia and updated Pakistani samples (HGDP-CEPH). The data presented here was integrated into existing knowledge of pan-Eurasian genetic diversity. The pattern of genetic variation, revealed by structure-like and Principal Component analyses and Analysis of Molecular Variance indicates that the people of Afghanistan are made up of a mosaic of components representing various geographic regions of Eurasian ancestry. The absence of a major Central Asian-specific component indicates that the Hindu Kush, like the gene pool of Central Asian populations in general, is a confluence of gene flows rather than a source of distinctly autochthonous populations that have arisen in situ: a conclusion that is reinforced by the phylogeography of both haploid loci.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Kazakhstan 1 1%
Sweden 1 1%
Canada 1 1%
Unknown 81 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 14 16%
Student > Master 14 16%
Professor > Associate Professor 7 8%
Student > Bachelor 7 8%
Other 14 16%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 39%
Biochemistry, Genetics and Molecular Biology 17 20%
Medicine and Dentistry 5 6%
Arts and Humanities 4 5%
Social Sciences 3 4%
Other 11 13%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 April 2024.
All research outputs
#1,182,990
of 25,878,862 outputs
Outputs from PLOS ONE
#14,969
of 225,711 outputs
Outputs of similar age
#10,489
of 225,783 outputs
Outputs of similar age from PLOS ONE
#422
of 5,197 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 93% 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 225,783 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 95% of its contemporaries.
We're also able to compare this research output to 5,197 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 91% of its contemporaries.