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Unequal representation of genetic variation across ancestry groups creates healthcare inequality in the application of precision medicine

Overview of attention for article published in Genome Biology, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 4,516)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
45 news outlets
blogs
1 blog
policy
1 policy source
twitter
106 X users
facebook
1 Facebook page

Citations

dimensions_citation
164 Dimensions

Readers on

mendeley
204 Mendeley
citeulike
1 CiteULike
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Title
Unequal representation of genetic variation across ancestry groups creates healthcare inequality in the application of precision medicine
Published in
Genome Biology, July 2016
DOI 10.1186/s13059-016-1016-y
Pubmed ID
Authors

Slavé Petrovski, David B. Goldstein

X Demographics

X Demographics

The data shown below were collected from the profiles of 106 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Malaysia 1 <1%
Sweden 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Luxembourg 1 <1%
Unknown 196 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 17%
Researcher 33 16%
Student > Bachelor 26 13%
Student > Master 23 11%
Student > Doctoral Student 11 5%
Other 32 16%
Unknown 45 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 26%
Agricultural and Biological Sciences 40 20%
Medicine and Dentistry 19 9%
Social Sciences 6 3%
Computer Science 4 2%
Other 30 15%
Unknown 51 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 433. 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 16 November 2022.
All research outputs
#66,979
of 25,770,491 outputs
Outputs from Genome Biology
#13
of 4,516 outputs
Outputs of similar age
#1,437
of 372,428 outputs
Outputs of similar age from Genome Biology
#3
of 63 outputs
Altmetric has tracked 25,770,491 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 4,516 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 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 372,428 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 63 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 95% of its contemporaries.