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Genes reveal traces of common recent demographic history for most of the Uralic-speaking populations

Overview of attention for article published in Genome Biology (Online Edition), September 2018
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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 (96th percentile)

Mentioned by

news
2 news outlets
blogs
4 blogs
twitter
59 tweeters
facebook
1 Facebook page
wikipedia
9 Wikipedia pages

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
77 Mendeley
citeulike
1 CiteULike
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Title
Genes reveal traces of common recent demographic history for most of the Uralic-speaking populations
Published in
Genome Biology (Online Edition), September 2018
DOI 10.1186/s13059-018-1522-1
Pubmed ID
Authors

Kristiina Tambets, Bayazit Yunusbayev, Georgi Hudjashov, Anne-Mai Ilumäe, Siiri Rootsi, Terhi Honkola, Outi Vesakoski, Quentin Atkinson, Pontus Skoglund, Alena Kushniarevich, Sergey Litvinov, Maere Reidla, Ene Metspalu, Lehti Saag, Timo Rantanen, Monika Karmin, Jüri Parik, Sergey I. Zhadanov, Marina Gubina, Larisa D. Damba, Marina Bermisheva, Tuuli Reisberg, Khadizhat Dibirova, Irina Evseeva, Mari Nelis, Janis Klovins, Andres Metspalu, Tõnu Esko, Oleg Balanovsky, Elena Balanovska, Elza K. Khusnutdinova, Ludmila P. Osipova, Mikhail Voevoda, Richard Villems, Toomas Kivisild, Mait Metspalu

Abstract

The genetic origins of Uralic speakers from across a vast territory in the temperate zone of North Eurasia have remained elusive. Previous studies have shown contrasting proportions of Eastern and Western Eurasian ancestry in their mitochondrial and Y chromosomal gene pools. While the maternal lineages reflect by and large the geographic background of a given Uralic-speaking population, the frequency of Y chromosomes of Eastern Eurasian origin is distinctively high among European Uralic speakers. The autosomal variation of Uralic speakers, however, has not yet been studied comprehensively. Here, we present a genome-wide analysis of 15 Uralic-speaking populations which cover all main groups of the linguistic family. We show that contemporary Uralic speakers are genetically very similar to their local geographical neighbours. However, when studying relationships among geographically distant populations, we find that most of the Uralic speakers and some of their neighbours share a genetic component of possibly Siberian origin. Additionally, we show that most Uralic speakers share significantly more genomic segments identity-by-descent with each other than with geographically equidistant speakers of other languages. We find that correlated genome-wide genetic and lexical distances among Uralic speakers suggest co-dispersion of genes and languages. Yet, we do not find long-range genetic ties between Estonians and Hungarians with their linguistic sisters that would distinguish them from their non-Uralic-speaking neighbours. We show that most Uralic speakers share a distinct ancestry component of likely Siberian origin, which suggests that the spread of Uralic languages involved at least some demic component.

Twitter Demographics

The data shown below were collected from the profiles of 59 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Researcher 10 13%
Student > Bachelor 8 10%
Student > Master 7 9%
Student > Doctoral Student 5 6%
Other 15 19%
Unknown 14 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 32%
Agricultural and Biological Sciences 19 25%
Arts and Humanities 3 4%
Engineering 3 4%
Business, Management and Accounting 1 1%
Other 8 10%
Unknown 18 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 81. 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 July 2022.
All research outputs
#414,591
of 21,774,582 outputs
Outputs from Genome Biology (Online Edition)
#288
of 4,007 outputs
Outputs of similar age
#9,849
of 299,879 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,774,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,007 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 92% 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 299,879 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 96% 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