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Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure

Overview of attention for article published in BMC Genomics, October 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure
Published in
BMC Genomics, October 2017
DOI 10.1186/s12864-017-4166-8
Pubmed ID
Authors

Jinyoung Byun, Younghun Han, Ivan P. Gorlov, Jonathan A. Busam, Michael F. Seldin, Christopher I. Amos

Twitter Demographics

The data shown below were collected from the profiles of 4 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 25%
Student > Ph. D. Student 11 21%
Researcher 9 17%
Student > Bachelor 6 12%
Student > Postgraduate 3 6%
Other 6 12%
Unknown 4 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 29%
Agricultural and Biological Sciences 10 19%
Engineering 7 13%
Computer Science 5 10%
Immunology and Microbiology 2 4%
Other 5 10%
Unknown 8 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 January 2020.
All research outputs
#4,815,417
of 15,488,719 outputs
Outputs from BMC Genomics
#2,755
of 8,741 outputs
Outputs of similar age
#124,440
of 334,992 outputs
Outputs of similar age from BMC Genomics
#1
of 6 outputs
Altmetric has tracked 15,488,719 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,741 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 67% 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 334,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 6 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