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Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated

Overview of attention for article published in Scientific Reports, August 2022
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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 (99th percentile)

Mentioned by

news
18 news outlets
blogs
4 blogs
twitter
654 X users
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages
reddit
5 Redditors
video
1 YouTube creator

Readers on

mendeley
374 Mendeley
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Title
Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated
Published in
Scientific Reports, August 2022
DOI 10.1038/s41598-022-14395-4
Pubmed ID
Authors

Eran Elhaik

X Demographics

X Demographics

The data shown below were collected from the profiles of 654 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 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 374 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 17%
Researcher 49 13%
Student > Bachelor 29 8%
Student > Master 24 6%
Unspecified 20 5%
Other 72 19%
Unknown 117 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 24%
Biochemistry, Genetics and Molecular Biology 62 17%
Unspecified 17 5%
Environmental Science 14 4%
Computer Science 13 3%
Other 53 14%
Unknown 126 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 576. 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 16 April 2024.
All research outputs
#41,708
of 25,830,005 outputs
Outputs from Scientific Reports
#640
of 143,302 outputs
Outputs of similar age
#1,353
of 432,266 outputs
Outputs of similar age from Scientific Reports
#20
of 3,720 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 143,302 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 99% 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 432,266 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 3,720 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 99% of its contemporaries.