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Race and ancestry in biomedical research: exploring the challenges

Overview of attention for article published in Genome Medicine, January 2009
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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)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
50 X users
wikipedia
2 Wikipedia pages

Readers on

mendeley
131 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Race and ancestry in biomedical research: exploring the challenges
Published in
Genome Medicine, January 2009
DOI 10.1186/gm8
Pubmed ID
Authors

Timothy Caulfield, Stephanie M Fullerton, Sarah E Ali-Khan, Laura Arbour, Esteban G Burchard, Richard S Cooper, Billie-Jo Hardy, Simrat Harry, Robyn Hyde-Lay, Jonathan Kahn, Rick Kittles, Barbara A Koenig, Sandra SJ Lee, Michael Malinowski, Vardit Ravitsky, Pamela Sankar, Stephen W Scherer, Béatrice Séguin, Darren Shickle, Guilherme Suarez-Kurtz, Abdallah S Daar

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
South Africa 2 2%
Portugal 1 <1%
Canada 1 <1%
Unknown 125 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 18%
Student > Ph. D. Student 21 16%
Student > Master 20 15%
Professor 15 11%
Student > Doctoral Student 10 8%
Other 30 23%
Unknown 12 9%
Readers by discipline Count As %
Medicine and Dentistry 28 21%
Social Sciences 25 19%
Agricultural and Biological Sciences 20 15%
Biochemistry, Genetics and Molecular Biology 14 11%
Philosophy 7 5%
Other 17 13%
Unknown 20 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 27 February 2024.
All research outputs
#1,211,810
of 25,708,267 outputs
Outputs from Genome Medicine
#240
of 1,608 outputs
Outputs of similar age
#4,464
of 186,247 outputs
Outputs of similar age from Genome Medicine
#2
of 10 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 85% 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 186,247 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.