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Discriminant analysis of principal components: a new method for the analysis of genetically structured populations

Overview of attention for article published in BMC Genomic Data, October 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
15 X users
patent
1 patent
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
3878 Dimensions

Readers on

mendeley
3033 Mendeley
citeulike
11 CiteULike
connotea
2 Connotea
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Title
Discriminant analysis of principal components: a new method for the analysis of genetically structured populations
Published in
BMC Genomic Data, October 2010
DOI 10.1186/1471-2156-11-94
Pubmed ID
Authors

Thibaut Jombart, Sébastien Devillard, François Balloux

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 3,033 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 31 1%
Brazil 17 <1%
United Kingdom 13 <1%
Germany 10 <1%
France 9 <1%
Canada 9 <1%
Spain 6 <1%
Italy 5 <1%
Switzerland 4 <1%
Other 54 2%
Unknown 2875 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 690 23%
Researcher 630 21%
Student > Master 447 15%
Student > Bachelor 219 7%
Student > Doctoral Student 189 6%
Other 409 13%
Unknown 449 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 1607 53%
Biochemistry, Genetics and Molecular Biology 397 13%
Environmental Science 205 7%
Medicine and Dentistry 33 1%
Earth and Planetary Sciences 31 1%
Other 211 7%
Unknown 549 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 September 2021.
All research outputs
#2,431,403
of 25,837,817 outputs
Outputs from BMC Genomic Data
#62
of 1,215 outputs
Outputs of similar age
#9,265
of 111,026 outputs
Outputs of similar age from BMC Genomic Data
#1
of 5 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 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 4.4. 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 111,026 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 91% of its contemporaries.
We're also able to compare this research output to 5 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