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Between Lake Baikal and the Baltic Sea: genomic history of the gateway to Europe

Overview of attention for article published in BMC Genomic Data, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 1,208)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
20 X users
facebook
2 Facebook pages
wikipedia
10 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
36 Dimensions

Readers on

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71 Mendeley
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Title
Between Lake Baikal and the Baltic Sea: genomic history of the gateway to Europe
Published in
BMC Genomic Data, December 2017
DOI 10.1186/s12863-017-0578-3
Pubmed ID
Authors

Petr Triska, Nikolay Chekanov, Vadim Stepanov, Elza K. Khusnutdinova, Ganesh Prasad Arun Kumar, Vita Akhmetova, Konstantin Babalyan, Eugenia Boulygina, Vladimir Kharkov, Marina Gubina, Irina Khidiyatova, Irina Khitrinskaya, Ekaterina E. Khrameeva, Rita Khusainova, Natalia Konovalova, Sergey Litvinov, Andrey Marusin, Alexandr M. Mazur, Valery Puzyrev, Dinara Ivanoshchuk, Maria Spiridonova, Anton Teslyuk, Svetlana Tsygankova, Martin Triska, Natalya Trofimova, Edward Vajda, Oleg Balanovsky, Ancha Baranova, Konstantin Skryabin, Tatiana V. Tatarinova, Egor Prokhortchouk

Abstract

The history of human populations occupying the plains and mountain ridges separating Europe from Asia has been eventful, as these natural obstacles were crossed westward by multiple waves of Turkic and Uralic-speaking migrants as well as eastward by Europeans. Unfortunately, the material records of history of this region are not dense enough to reconstruct details of population history. These considerations stimulate growing interest to obtain a genetic picture of the demographic history of migrations and admixture in Northern Eurasia. We genotyped and analyzed 1076 individuals from 30 populations with geographical coverage spanning from Baltic Sea to Baikal Lake. Our dense sampling allowed us to describe in detail the population structure, provide insight into genomic history of numerous European and Asian populations, and significantly increase quantity of genetic data available for modern populations in region of North Eurasia. Our study doubles the amount of genome-wide profiles available for this region. We detected unusually high amount of shared identical-by-descent (IBD) genomic segments between several Siberian populations, such as Khanty and Ket, providing evidence of genetic relatedness across vast geographic distances and between speakers of different language families. Additionally, we observed excessive IBD sharing between Khanty and Bashkir, a group of Turkic speakers from Southern Urals region. While adding some weight to the "Finno-Ugric" origin of Bashkir, our studies highlighted that the Bashkir genepool lacks the main "core", being a multi-layered amalgamation of Turkic, Ugric, Finnish and Indo-European contributions, which points at intricacy of genetic interface between Turkic and Uralic populations. Comparison of the genetic structure of Siberian ethnicities and the geography of the region they inhabit point at existence of the "Great Siberian Vortex" directing genetic exchanges in populations across the Siberian part of Asia. Slavic speakers of Eastern Europe are, in general, very similar in their genetic composition. Ukrainians, Belarusians and Russians have almost identical proportions of Caucasus and Northern European components and have virtually no Asian influence. We capitalized on wide geographic span of our sampling to address intriguing question about the place of origin of Russian Starovers, an enigmatic Eastern Orthodox Old Believers religious group relocated to Siberia in seventeenth century. A comparative reAdmix analysis, complemented by IBD sharing, placed their roots in the region of the Northern European Plain, occupied by North Russians and Finno-Ugric Komi and Karelian people. Russians from Novosibirsk and Russian Starover exhibit ancestral proportions close to that of European Eastern Slavs, however, they also include between five to 10 % of Central Siberian ancestry, not present at this level in their European counterparts. Our project has patched the hole in the genetic map of Eurasia: we demonstrated complexity of genetic structure of Northern Eurasians, existence of East-West and North-South genetic gradients, and assessed different inputs of ancient populations into modern populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 14 20%
Student > Master 5 7%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 20 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 28%
Agricultural and Biological Sciences 15 21%
Arts and Humanities 4 6%
Environmental Science 2 3%
Nursing and Health Professions 2 3%
Other 8 11%
Unknown 20 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 21 March 2024.
All research outputs
#1,576,601
of 25,523,622 outputs
Outputs from BMC Genomic Data
#37
of 1,208 outputs
Outputs of similar age
#35,389
of 449,821 outputs
Outputs of similar age from BMC Genomic Data
#1
of 24 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,208 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 449,821 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 92% of its contemporaries.
We're also able to compare this research output to 24 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 99% of its contemporaries.