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Eight Millennia of Matrilineal Genetic Continuity in the South Caucasus

Overview of attention for article published in Current Biology, June 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
9 news outlets
blogs
6 blogs
twitter
125 X users
facebook
7 Facebook pages
wikipedia
20 Wikipedia pages

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
2 CiteULike
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Title
Eight Millennia of Matrilineal Genetic Continuity in the South Caucasus
Published in
Current Biology, June 2017
DOI 10.1016/j.cub.2017.05.087
Pubmed ID
Authors

Ashot Margaryan, Miroslava Derenko, Hrant Hovhannisyan, Boris Malyarchuk, Rasmus Heller, Zaruhi Khachatryan, Pavel Avetisyan, Ruben Badalyan, Arsen Bobokhyan, Varduhi Melikyan, Gagik Sargsyan, Ashot Piliposyan, Hakob Simonyan, Ruzan Mkrtchyan, Galina Denisova, Levon Yepiskoposyan, Eske Willerslev, Morten E. Allentoft

Abstract

The South Caucasus, situated between the Black and Caspian Seas, geographically links Europe with the Near East and has served as a crossroad for human migrations for many millennia [1-7]. Despite a vast archaeological record showing distinct cultural turnovers, the demographic events that shaped the human populations of this region is not known [8, 9]. To shed light on the maternal genetic history of the region, we analyzed the complete mitochondrial genomes of 52 ancient skeletons from present-day Armenia and Artsakh spanning 7,800 years and combined this dataset with 206 mitochondrial genomes of modern Armenians. We also included previously published data of seven neighboring populations (n = 482). Coalescence-based analyses suggest that the population size in this region rapidly increased after the Last Glacial Maximum ca. 18 kya. We find that the lowest genetic distance in this dataset is between modern Armenians and the ancient individuals, as also reflected in both network analyses and discriminant analysis of principal components. We used approximate Bayesian computation to test five different demographic scenarios explaining the formation of the modern Armenian gene pool. Despite well documented cultural shifts in the South Caucasus across this time period, our results strongly favor a genetic continuity model in the maternal gene pool. This has implications for interpreting prehistoric migration dynamics and cultural shifts in this part of the world.

X Demographics

X Demographics

The data shown below were collected from the profiles of 125 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Student > Master 8 11%
Researcher 7 9%
Student > Bachelor 7 9%
Professor 5 7%
Other 13 17%
Unknown 16 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 35%
Agricultural and Biological Sciences 16 21%
Arts and Humanities 4 5%
Social Sciences 4 5%
Computer Science 3 4%
Other 7 9%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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 13 March 2024.
All research outputs
#200,465
of 25,481,734 outputs
Outputs from Current Biology
#964
of 14,720 outputs
Outputs of similar age
#4,251
of 328,475 outputs
Outputs of similar age from Current Biology
#25
of 228 outputs
Altmetric has tracked 25,481,734 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 14,720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.9. This one has done particularly well, scoring higher than 93% 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 328,475 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 98% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.