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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
652 X users
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages
reddit
5 Redditors
video
1 YouTube creator

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
429 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 652 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 429 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 429 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 15%
Researcher 55 13%
Student > Bachelor 35 8%
Student > Master 28 7%
Other 18 4%
Other 67 16%
Unknown 161 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 22%
Biochemistry, Genetics and Molecular Biology 67 16%
Environmental Science 16 4%
Computer Science 15 3%
Medicine and Dentistry 10 2%
Other 58 14%
Unknown 168 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 579. 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 07 September 2024.
All research outputs
#43,408
of 26,588,416 outputs
Outputs from Scientific Reports
#669
of 147,587 outputs
Outputs of similar age
#1,373
of 437,449 outputs
Outputs of similar age from Scientific Reports
#21
of 3,738 outputs
Altmetric has tracked 26,588,416 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 147,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. 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 437,449 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 3,738 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.