↓ Skip to main content

Genomic analyses inform on migration events during the peopling of Eurasia

Overview of attention for article published in Nature, September 2016
Altmetric Badge

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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
61 news outlets
blogs
29 blogs
twitter
218 X users
facebook
8 Facebook pages
wikipedia
11 Wikipedia pages
googleplus
7 Google+ users

Citations

dimensions_citation
352 Dimensions

Readers on

mendeley
612 Mendeley
citeulike
6 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genomic analyses inform on migration events during the peopling of Eurasia
Published in
Nature, September 2016
DOI 10.1038/nature19792
Pubmed ID
Authors

Luca Pagani, Daniel John Lawson, Evelyn Jagoda, Alexander Mörseburg, Anders Eriksson, Mario Mitt, Florian Clemente, Georgi Hudjashov, Michael DeGiorgio, Lauri Saag, Jeffrey D. Wall, Alexia Cardona, Reedik Mägi, Melissa A. Wilson Sayres, Sarah Kaewert, Charlotte Inchley, Christiana L. Scheib, Mari Järve, Monika Karmin, Guy S. Jacobs, Tiago Antao, Florin Mircea Iliescu, Alena Kushniarevich, Qasim Ayub, Chris Tyler-Smith, Yali Xue, Bayazit Yunusbayev, Kristiina Tambets, Chandana Basu Mallick, Lehti Saag, Elvira Pocheshkhova, George Andriadze, Craig Muller, Michael C. Westaway, David M. Lambert, Grigor Zoraqi, Shahlo Turdikulova, Dilbar Dalimova, Zhaxylyk Sabitov, Gazi Nurun Nahar Sultana, Joseph Lachance, Sarah Tishkoff, Kuvat Momynaliev, Jainagul Isakova, Larisa D. Damba, Marina Gubina, Pagbajabyn Nymadawa, Irina Evseeva, Lubov Atramentova, Olga Utevska, François-Xavier Ricaut, Nicolas Brucato, Herawati Sudoyo, Thierry Letellier, Murray P. Cox, Nikolay A. Barashkov, Vedrana Škaro, Lejla Mulahasanovic´, Dragan Primorac, Hovhannes Sahakyan, Maru Mormina, Christina A. Eichstaedt, Daria V. Lichman, Syafiq Abdullah, Gyaneshwer Chaubey, Joseph T. S. Wee, Evelin Mihailov, Alexandra Karunas, Sergei Litvinov, Rita Khusainova, Natalya Ekomasova, Vita Akhmetova, Irina Khidiyatova, Damir Marjanović, Levon Yepiskoposyan, Doron M. Behar, Elena Balanovska, Andres Metspalu, Miroslava Derenko, Boris Malyarchuk, Mikhail Voevoda, Sardana A. Fedorova, Ludmila P. Osipova, Marta Mirazón Lahr, Pascale Gerbault, Matthew Leavesley, Andrea Bamberg Migliano, Michael Petraglia, Oleg Balanovsky, Elza K. Khusnutdinova, Ene Metspalu, Mark G. Thomas, Andrea Manica, Rasmus Nielsen, Richard Villems, Eske Willerslev, Toomas Kivisild, Mait Metspalu

Abstract

High-coverage whole-genome sequence studies have so far focused on a limited number of geographically restricted populations, or been targeted at specific diseases, such as cancer. Nevertheless, the availability of high-resolution genomic data has led to the development of new methodologies for inferring population history and refuelled the debate on the mutation rate in humans. Here we present the Estonian Biocentre Human Genome Diversity Panel (EGDP), a dataset of 483 high-coverage human genomes from 148 populations worldwide, including 379 new genomes from 125 populations, which we group into diversity and selection sets. We analyse this dataset to refine estimates of continent-wide patterns of heterozygosity, long- and short-distance gene flow, archaic admixture, and changes in effective population size through time as well as for signals of positive or balancing selection. We find a genetic signature in present-day Papuans that suggests that at least 2% of their genome originates from an early and largely extinct expansion of anatomically modern humans (AMHs) out of Africa. Together with evidence from the western Asian fossil record, and admixture between AMHs and Neanderthals predating the main Eurasian expansion, our results contribute to the mounting evidence for the presence of AMHs out of Africa earlier than 75,000 years ago.

X Demographics

X Demographics

The data shown below were collected from the profiles of 218 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 612 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 <1%
Portugal 2 <1%
United States 2 <1%
Chile 1 <1%
Colombia 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 600 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 18%
Researcher 107 17%
Student > Bachelor 97 16%
Student > Master 58 9%
Professor 34 6%
Other 110 18%
Unknown 98 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 168 27%
Biochemistry, Genetics and Molecular Biology 149 24%
Arts and Humanities 32 5%
Social Sciences 30 5%
Medicine and Dentistry 28 5%
Other 89 15%
Unknown 116 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 777. 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 24 October 2023.
All research outputs
#25,173
of 25,728,350 outputs
Outputs from Nature
#2,389
of 98,595 outputs
Outputs of similar age
#426
of 329,463 outputs
Outputs of similar age from Nature
#51
of 992 outputs
Altmetric has tracked 25,728,350 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 98,595 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. 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 329,463 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 99% of its contemporaries.
We're also able to compare this research output to 992 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 94% of its contemporaries.