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Genome-wide patterns of selection in 230 ancient Eurasians

Overview of attention for article published in Nature, November 2015
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

58 news outlets
29 blogs
502 tweeters
10 Facebook pages
27 Wikipedia pages
4 Google+ users
1 Redditor
2 video uploaders


555 Dimensions

Readers on

798 Mendeley
6 CiteULike
Genome-wide patterns of selection in 230 ancient Eurasians
Published in
Nature, November 2015
DOI 10.1038/nature16152
Pubmed ID

Iain Mathieson, Iosif Lazaridis, Nadin Rohland, Swapan Mallick, Nick Patterson, Songül Alpaslan Roodenberg, Eadaoin Harney, Kristin Stewardson, Daniel Fernandes, Mario Novak, Kendra Sirak, Cristina Gamba, Eppie R. Jones, Bastien Llamas, Stanislav Dryomov, Joseph Pickrell, Juan Luís Arsuaga, José María Bermúdez de Castro, Eudald Carbonell, Fokke Gerritsen, Aleksandr Khokhlov, Pavel Kuznetsov, Marina Lozano, Harald Meller, Oleg Mochalov, Vyacheslav Moiseyev, Manuel A. Rojo Guerra, Jacob Roodenberg, Josep Maria Vergès, Johannes Krause, Alan Cooper, Kurt W. Alt, Dorcas Brown, David Anthony, Carles Lalueza-Fox, Wolfgang Haak, Ron Pinhasi, David Reich


Ancient DNA makes it possible to observe natural selection directly by analysing samples from populations before, during and after adaptation events. Here we report a genome-wide scan for selection using ancient DNA, capitalizing on the largest ancient DNA data set yet assembled: 230 West Eurasians who lived between 6500 and 300 bc, including 163 with newly reported data. The new samples include, to our knowledge, the first genome-wide ancient DNA from Anatolian Neolithic farmers, whose genetic material we obtained by extracting from petrous bones, and who we show were members of the population that was the source of Europe's first farmers. We also report a transect of the steppe region in Samara between 5600 and 300 bc, which allows us to identify admixture into the steppe from at least two external sources. We detect selection at loci associated with diet, pigmentation and immunity, and two independent episodes of selection on height.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 798 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 1%
Germany 5 <1%
Spain 5 <1%
United Kingdom 4 <1%
Canada 2 <1%
France 2 <1%
Switzerland 2 <1%
Italy 2 <1%
Brazil 1 <1%
Other 11 1%
Unknown 754 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 212 27%
Researcher 152 19%
Student > Bachelor 96 12%
Student > Master 92 12%
Professor 40 5%
Other 136 17%
Unknown 70 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 290 36%
Biochemistry, Genetics and Molecular Biology 212 27%
Arts and Humanities 43 5%
Social Sciences 36 5%
Medicine and Dentistry 31 4%
Other 78 10%
Unknown 108 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 964. 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 20 April 2020.
All research outputs
of 15,134,662 outputs
Outputs from Nature
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Outputs of similar age
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Outputs of similar age from Nature
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Altmetric has tracked 15,134,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 73,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 82.7. This one has done particularly well, scoring higher than 98% 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 362,950 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 99% of its contemporaries.
We're also able to compare this research output to 936 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 97% of its contemporaries.