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African evolutionary history inferred from whole genome sequence data of 44 indigenous African 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 (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
twitter
170 X users
facebook
3 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
142 Mendeley
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Title
African evolutionary history inferred from whole genome sequence data of 44 indigenous African populations
Published in
Genome Biology, April 2019
DOI 10.1186/s13059-019-1679-2
Pubmed ID
Authors

Shaohua Fan, Derek E. Kelly, Marcia H. Beltrame, Matthew E. B. Hansen, Swapan Mallick, Alessia Ranciaro, Jibril Hirbo, Simon Thompson, William Beggs, Thomas Nyambo, Sabah A. Omar, Dawit Wolde Meskel, Gurja Belay, Alain Froment, Nick Patterson, David Reich, Sarah A. Tishkoff

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

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 20%
Student > Master 19 13%
Researcher 16 11%
Student > Bachelor 9 6%
Other 9 6%
Other 18 13%
Unknown 42 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 23%
Biochemistry, Genetics and Molecular Biology 31 22%
Medicine and Dentistry 6 4%
Arts and Humanities 3 2%
Immunology and Microbiology 3 2%
Other 17 12%
Unknown 49 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 113. 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 04 April 2024.
All research outputs
#379,858
of 25,784,004 outputs
Outputs from Genome Biology
#182
of 4,516 outputs
Outputs of similar age
#8,152
of 364,563 outputs
Outputs of similar age from Genome Biology
#14
of 66 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,516 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 95% 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 364,563 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 97% 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 well, scoring higher than 78% of its contemporaries.