↓ Skip to main content

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
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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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

Readers on

mendeley
150 Mendeley
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
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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 22%
Researcher 22 15%
Professor 10 7%
Student > Bachelor 10 7%
Other 9 6%
Other 26 17%
Unknown 40 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 28%
Biochemistry, Genetics and Molecular Biology 41 27%
Medicine and Dentistry 4 3%
Social Sciences 3 2%
Arts and Humanities 3 2%
Other 14 9%
Unknown 43 29%
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 11 May 2024.
All research outputs
#218,166
of 25,886,866 outputs
Outputs from Genome Biology
#69
of 4,529 outputs
Outputs of similar age
#4,454
of 365,774 outputs
Outputs of similar age from Genome Biology
#1
of 66 outputs
Altmetric has tracked 25,886,866 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 4,529 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 365,774 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 98% of its contemporaries.