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Fast model-based estimation of ancestry in unrelated individuals

Overview of attention for article published in Genome Research, July 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 (95th percentile)

Mentioned by

news
2 news outlets
blogs
4 blogs
policy
1 policy source
twitter
1 X user
patent
14 patents
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
6365 Dimensions

Readers on

mendeley
3239 Mendeley
citeulike
7 CiteULike
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Title
Fast model-based estimation of ancestry in unrelated individuals
Published in
Genome Research, July 2009
DOI 10.1101/gr.094052.109
Pubmed ID
Authors

David H. Alexander, John Novembre, Kenneth Lange

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3,239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 38 1%
Brazil 6 <1%
Germany 5 <1%
Spain 4 <1%
Switzerland 4 <1%
Uruguay 4 <1%
Chile 3 <1%
Portugal 3 <1%
United Kingdom 3 <1%
Other 24 <1%
Unknown 3145 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 792 24%
Researcher 526 16%
Student > Master 411 13%
Student > Bachelor 272 8%
Student > Doctoral Student 162 5%
Other 430 13%
Unknown 646 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 1289 40%
Biochemistry, Genetics and Molecular Biology 674 21%
Medicine and Dentistry 97 3%
Computer Science 67 2%
Environmental Science 63 2%
Other 283 9%
Unknown 766 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 26 February 2024.
All research outputs
#765,797
of 25,837,817 outputs
Outputs from Genome Research
#250
of 4,469 outputs
Outputs of similar age
#1,936
of 126,097 outputs
Outputs of similar age from Genome Research
#2
of 44 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. 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 126,097 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 44 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.