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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, January 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 (86th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
4 tweeters
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
65 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, January 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 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 4 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
New Zealand 1 2%
Unknown 62 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Researcher 18 28%
Student > Bachelor 7 11%
Unspecified 5 8%
Student > Master 4 6%
Other 12 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 51%
Biochemistry, Genetics and Molecular Biology 14 22%
Social Sciences 5 8%
Unspecified 4 6%
Medicine and Dentistry 3 5%
Other 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 December 2016.
All research outputs
#460,413
of 12,373,386 outputs
Outputs from BMC Evolutionary Biology
#141
of 2,341 outputs
Outputs of similar age
#6,545
of 147,925 outputs
Outputs of similar age from BMC Evolutionary Biology
#2
of 15 outputs
Altmetric has tracked 12,373,386 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 2,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 147,925 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 15 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.