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Characterizing the admixed African ancestry of African Americans

Overview of attention for article published in Genome Biology (Online Edition), 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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
63 tweeters
facebook
5 Facebook pages
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
128 Dimensions

Readers on

mendeley
146 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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Title
Characterizing the admixed African ancestry of African Americans
Published in
Genome Biology (Online Edition), January 2009
DOI 10.1186/gb-2009-10-12-r141
Pubmed ID
Authors

Fouad Zakharia, Analabha Basu, Devin Absher, Themistocles L Assimes, Alan S Go, Mark A Hlatky, Carlos Iribarren, Joshua W Knowles, Jun Li, Balasubramanian Narasimhan, Steven Sidney, Audrey Southwick, Richard M Myers, Thomas Quertermous, Neil Risch, Hua Tang

Twitter Demographics

The data shown below were collected from the profiles of 63 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Netherlands 1 <1%
Brazil 1 <1%
France 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 135 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Researcher 28 19%
Student > Master 13 9%
Other 12 8%
Professor > Associate Professor 12 8%
Other 37 25%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 38%
Biochemistry, Genetics and Molecular Biology 22 15%
Medicine and Dentistry 22 15%
Social Sciences 6 4%
Immunology and Microbiology 3 2%
Other 14 10%
Unknown 23 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 93. 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 December 2022.
All research outputs
#375,910
of 22,617,693 outputs
Outputs from Genome Biology (Online Edition)
#234
of 4,089 outputs
Outputs of similar age
#1,084
of 159,941 outputs
Outputs of similar age from Genome Biology (Online Edition)
#3
of 98 outputs
Altmetric has tracked 22,617,693 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 4,089 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 94% 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 159,941 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 98 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 97% of its contemporaries.