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Autosomal and uniparental portraits of the native populations of Sakha (Yakutia): implications for the peopling of Northeast Eurasia

Overview of attention for article published in BMC Evolutionary Biology, June 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)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
5 tweeters
facebook
1 Facebook page
wikipedia
12 Wikipedia pages

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
2 CiteULike
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Title
Autosomal and uniparental portraits of the native populations of Sakha (Yakutia): implications for the peopling of Northeast Eurasia
Published in
BMC Evolutionary Biology, June 2013
DOI 10.1186/1471-2148-13-127
Pubmed ID
Authors

Sardana A Fedorova, Maere Reidla, Ene Metspalu, Mait Metspalu, Siiri Rootsi, Kristiina Tambets, Natalya Trofimova, Sergey I Zhadanov, Baharak Hooshiar Kashani, Anna Olivieri, Mikhail I Voevoda, Ludmila P Osipova, Fedor A Platonov, Mikhail I Tomsky, Elza K Khusnutdinova, Antonio Torroni, Richard Villems

Abstract

Sakha--an area connecting South and Northeast Siberia--is significant for understanding the history of peopling of Northeast Eurasia and the Americas. Previous studies have shown a genetic contiguity between Siberia and East Asia and the key role of South Siberia in the colonization of Siberia.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Mexico 1 1%
New Zealand 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 29%
Student > Ph. D. Student 20 26%
Student > Bachelor 8 11%
Student > Master 6 8%
Student > Doctoral Student 4 5%
Other 10 13%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 46%
Biochemistry, Genetics and Molecular Biology 18 24%
Social Sciences 5 7%
Medicine and Dentistry 3 4%
Psychology 3 4%
Other 6 8%
Unknown 6 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 11 May 2022.
All research outputs
#868,188
of 21,770,930 outputs
Outputs from BMC Evolutionary Biology
#159
of 2,901 outputs
Outputs of similar age
#7,147
of 174,859 outputs
Outputs of similar age from BMC Evolutionary Biology
#1
of 1 outputs
Altmetric has tracked 21,770,930 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. 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 174,859 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them