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rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure

Overview of attention for article published in Bioinformatics, March 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users
patent
1 patent

Readers on

mendeley
395 Mendeley
citeulike
2 CiteULike
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Article details
Title
rehh: an R package to detect footprints of selection in genome-wide SNP data from haplotype structure
Published in
Bioinformatics, March 2012
DOI 10.1093/bioinformatics/bts115
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 395 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 2 <1%
United States 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Poland 1 <1%
Philippines 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
France 1 <1%
Other 5 1%
Unknown 380 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 95 24%
Student > Ph. D. Student 85 22%
Student > Master 46 12%
Student > Doctoral Student 20 5%
Professor > Associate Professor 13 3%
Other 56 14%
Unknown 80 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 204 52%
Biochemistry, Genetics and Molecular Biology 58 15%
Computer Science 8 2%
Medicine and Dentistry 7 2%
Veterinary Science and Veterinary Medicine 6 2%
Other 17 4%
Unknown 95 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 February 2026.
All research outputs
#6,516,003
of 33,738,238 outputs
Outputs from Bioinformatics
#4,916
of 14,329 outputs
Outputs of similar age
#38,132
of 200,293 outputs
Outputs of similar age from Bioinformatics
#40
of 118 outputs
Altmetric has tracked 33,738,238 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,329 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 65% 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 200,293 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.