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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
758 tweeters
facebook
2 Facebook pages
wikipedia
4 Wikipedia pages
reddit
5 Redditors
video
1 video uploader

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
297 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

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 758 tweeters 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 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 297 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 18%
Researcher 45 15%
Unspecified 27 9%
Student > Bachelor 26 9%
Student > Master 17 6%
Other 54 18%
Unknown 75 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 24%
Biochemistry, Genetics and Molecular Biology 56 19%
Unspecified 27 9%
Environmental Science 11 4%
Computer Science 8 3%
Other 40 13%
Unknown 84 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 636. 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 23 September 2023.
All research outputs
#32,461
of 24,506,807 outputs
Outputs from Scientific Reports
#511
of 133,610 outputs
Outputs of similar age
#1,078
of 420,828 outputs
Outputs of similar age from Scientific Reports
#17
of 3,693 outputs
Altmetric has tracked 24,506,807 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 133,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. 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 420,828 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 3,693 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.