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Enhancements to the ADMIXTURE algorithm for individual ancestry estimation

Overview of attention for article published in BMC Bioinformatics, June 2011
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
630 Dimensions

Readers on

mendeley
615 Mendeley
connotea
1 Connotea
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Title
Enhancements to the ADMIXTURE algorithm for individual ancestry estimation
Published in
BMC Bioinformatics, June 2011
DOI 10.1186/1471-2105-12-246
Pubmed ID
Authors

David H Alexander, Kenneth Lange

Twitter Demographics

The data shown below were collected from the profiles of 2 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 615 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Germany 2 <1%
Brazil 2 <1%
Hungary 1 <1%
Chile 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Finland 1 <1%
Other 2 <1%
Unknown 600 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 141 23%
Researcher 113 18%
Student > Master 89 14%
Student > Bachelor 57 9%
Student > Doctoral Student 35 6%
Other 77 13%
Unknown 103 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 253 41%
Biochemistry, Genetics and Molecular Biology 127 21%
Environmental Science 19 3%
Medicine and Dentistry 15 2%
Mathematics 11 2%
Other 68 11%
Unknown 122 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 November 2020.
All research outputs
#12,398,890
of 19,441,086 outputs
Outputs from BMC Bioinformatics
#4,472
of 6,596 outputs
Outputs of similar age
#205,724
of 387,791 outputs
Outputs of similar age from BMC Bioinformatics
#337
of 512 outputs
Altmetric has tracked 19,441,086 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,596 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 387,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 512 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.