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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 (Online Edition), 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 3,969)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
45 news outlets
blogs
1 blog
twitter
113 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
123 Dimensions

Readers on

mendeley
182 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 (Online Edition), July 2016
DOI 10.1186/s13059-016-1016-y
Pubmed ID
Authors

Slavé Petrovski, David B. Goldstein

Abstract

An important application of modern genomics is diagnosing genetic disorders. We use the largest publicly available exome sequence database to show that this key clinical service can currently be performed much more effectively in individuals of European genetic ancestry.

Twitter Demographics

The data shown below were collected from the profiles of 113 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Malaysia 1 <1%
Sweden 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Luxembourg 1 <1%
Unknown 174 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 17%
Researcher 31 17%
Student > Bachelor 25 14%
Student > Master 23 13%
Student > Postgraduate 10 5%
Other 28 15%
Unknown 34 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 29%
Agricultural and Biological Sciences 38 21%
Medicine and Dentistry 16 9%
Social Sciences 5 3%
Neuroscience 4 2%
Other 27 15%
Unknown 40 22%

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 18 July 2019.
All research outputs
#47,112
of 21,433,132 outputs
Outputs from Genome Biology (Online Edition)
#13
of 3,969 outputs
Outputs of similar age
#1,145
of 273,629 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,433,132 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 3,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. 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 273,629 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them