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Whole-genome sequence analysis of a Pan African set of samples reveals archaic gene flow from an extinct basal population of modern humans into sub-Saharan populations

Overview of attention for article published in Genome Biology, April 2019
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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 (99th percentile)

Mentioned by

news
9 news outlets
blogs
3 blogs
twitter
170 X users
wikipedia
4 Wikipedia pages
reddit
3 Redditors

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
146 Mendeley
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Title
Whole-genome sequence analysis of a Pan African set of samples reveals archaic gene flow from an extinct basal population of modern humans into sub-Saharan populations
Published in
Genome Biology, April 2019
DOI 10.1186/s13059-019-1684-5
Pubmed ID
Authors

Belen Lorente-Galdos, Oscar Lao, Gerard Serra-Vidal, Gabriel Santpere, Lukas F. K. Kuderna, Lara R. Arauna, Karima Fadhlaoui-Zid, Ville N. Pimenoff, Himla Soodyall, Pierre Zalloua, Tomas Marques-Bonet, David Comas

X Demographics

X Demographics

The data shown below were collected from the profiles of 170 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 23%
Researcher 21 14%
Professor 10 7%
Student > Bachelor 10 7%
Other 9 6%
Other 26 18%
Unknown 37 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 29%
Biochemistry, Genetics and Molecular Biology 40 27%
Medicine and Dentistry 4 3%
Social Sciences 3 2%
Arts and Humanities 3 2%
Other 14 10%
Unknown 40 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 188. 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 07 March 2024.
All research outputs
#212,428
of 25,463,091 outputs
Outputs from Genome Biology
#67
of 4,475 outputs
Outputs of similar age
#4,384
of 363,567 outputs
Outputs of similar age from Genome Biology
#1
of 66 outputs
Altmetric has tracked 25,463,091 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 4,475 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 363,567 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 66 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.