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Genome sequence of a 45,000-year-old modern human from western Siberia

Overview of attention for article published in Nature, October 2014
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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 (98th percentile)

Citations

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589 Dimensions

Readers on

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888 Mendeley
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6 CiteULike
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Title
Genome sequence of a 45,000-year-old modern human from western Siberia
Published in
Nature, October 2014
DOI 10.1038/nature13810
Pubmed ID
Authors

Qiaomei Fu, Heng Li, Priya Moorjani, Flora Jay, Sergey M. Slepchenko, Aleksei A. Bondarev, Philip L. F. Johnson, Ayinuer Aximu-Petri, Kay Prüfer, Cesare de Filippo, Matthias Meyer, Nicolas Zwyns, Domingo C. Salazar-García, Yaroslav V. Kuzmin, Susan G. Keates, Pavel A. Kosintsev, Dmitry I. Razhev, Michael P. Richards, Nikolai V. Peristov, Michael Lachmann, Katerina Douka, Thomas F. G. Higham, Montgomery Slatkin, Jean-Jacques Hublin, David Reich, Janet Kelso, T. Bence Viola, Svante Pääbo

Abstract

We present the high-quality genome sequence of a ∼45,000-year-old modern human male from Siberia. This individual derives from a population that lived before-or simultaneously with-the separation of the populations in western and eastern Eurasia and carries a similar amount of Neanderthal ancestry as present-day Eurasians. However, the genomic segments of Neanderthal ancestry are substantially longer than those observed in present-day individuals, indicating that Neanderthal gene flow into the ancestors of this individual occurred 7,000-13,000 years before he lived. We estimate an autosomal mutation rate of 0.4 × 10(-9) to 0.6 × 10(-9) per site per year, a Y chromosomal mutation rate of 0.7 × 10(-9) to 0.9 × 10(-9) per site per year based on the additional substitutions that have occurred in present-day non-Africans compared to this genome, and a mitochondrial mutation rate of 1.8 × 10(-8) to 3.2 × 10(-8) per site per year based on the age of the bone.

Twitter Demographics

The data shown below were collected from the profiles of 233 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 888 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 2%
Germany 10 1%
United Kingdom 7 <1%
Spain 4 <1%
Canada 3 <1%
China 3 <1%
France 2 <1%
Mexico 2 <1%
Portugal 2 <1%
Other 15 2%
Unknown 826 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 227 26%
Researcher 163 18%
Student > Bachelor 128 14%
Student > Master 93 10%
Professor 44 5%
Other 149 17%
Unknown 84 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 320 36%
Biochemistry, Genetics and Molecular Biology 181 20%
Arts and Humanities 83 9%
Social Sciences 56 6%
Earth and Planetary Sciences 31 3%
Other 107 12%
Unknown 110 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 1003. 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 09 April 2021.
All research outputs
#8,009
of 17,609,679 outputs
Outputs from Nature
#1,035
of 80,066 outputs
Outputs of similar age
#68
of 239,094 outputs
Outputs of similar age from Nature
#18
of 960 outputs
Altmetric has tracked 17,609,679 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 80,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 89.9. This one has done particularly well, scoring higher than 98% 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 239,094 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 960 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 98% of its contemporaries.