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The complete genome sequence of a Neanderthal from the Altai Mountains

Overview of attention for article published in Nature, December 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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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1467 Dimensions

Readers on

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1974 Mendeley
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9 CiteULike
Title
The complete genome sequence of a Neanderthal from the Altai Mountains
Published in
Nature, December 2013
DOI 10.1038/nature12886
Pubmed ID
Authors

Kay Prüfer, Fernando Racimo, Nick Patterson, Flora Jay, Sriram Sankararaman, Susanna Sawyer, Anja Heinze, Gabriel Renaud, Peter H. Sudmant, Cesare de Filippo, Heng Li, Swapan Mallick, Michael Dannemann, Qiaomei Fu, Martin Kircher, Martin Kuhlwilm, Michael Lachmann, Matthias Meyer, Matthias Ongyerth, Michael Siebauer, Christoph Theunert, Arti Tandon, Priya Moorjani, Joseph Pickrell, James C. Mullikin, Samuel H. Vohr, Richard E. Green, Ines Hellmann, Philip L. F. Johnson, Hélène Blanche, Howard Cann, Jacob O. Kitzman, Jay Shendure, Evan E. Eichler, Ed S. Lein, Trygve E. Bakken, Liubov V. Golovanova, Vladimir B. Doronichev, Michael V. Shunkov, Anatoli P. Derevianko, Bence Viola, Montgomery Slatkin, David Reich, Janet Kelso, Svante Pääbo

Abstract

We present a high-quality genome sequence of a Neanderthal woman from Siberia. We show that her parents were related at the level of half-siblings and that mating among close relatives was common among her recent ancestors. We also sequenced the genome of a Neanderthal from the Caucasus to low coverage. An analysis of the relationships and population history of available archaic genomes and 25 present-day human genomes shows that several gene flow events occurred among Neanderthals, Denisovans and early modern humans, possibly including gene flow into Denisovans from an unknown archaic group. Thus, interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene. In addition, the high-quality Neanderthal genome allows us to establish a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neanderthals and Denisovans.

Twitter Demographics

The data shown below were collected from the profiles of 428 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 1,974 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 28 1%
Germany 12 <1%
United Kingdom 12 <1%
Spain 7 <1%
Brazil 7 <1%
France 6 <1%
Netherlands 4 <1%
Turkey 4 <1%
Canada 4 <1%
Other 33 2%
Unknown 1857 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 456 23%
Student > Bachelor 339 17%
Researcher 338 17%
Student > Master 243 12%
Professor 102 5%
Other 315 16%
Unknown 181 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 747 38%
Biochemistry, Genetics and Molecular Biology 426 22%
Arts and Humanities 131 7%
Social Sciences 99 5%
Earth and Planetary Sciences 49 2%
Other 279 14%
Unknown 243 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 1719. 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 April 2022.
All research outputs
#4,311
of 21,190,873 outputs
Outputs from Nature
#532
of 87,369 outputs
Outputs of similar age
#32
of 303,213 outputs
Outputs of similar age from Nature
#5
of 927 outputs
Altmetric has tracked 21,190,873 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 87,369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 96.9. This one has done particularly well, scoring higher than 99% 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 303,213 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 927 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.