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Statistical methods for detecting natural selection from genomic data

Overview of attention for article published in Genes and Genetic Systems, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 422)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
1 CiteULike
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Title
Statistical methods for detecting natural selection from genomic data
Published in
Genes and Genetic Systems, January 2010
DOI 10.1266/ggs.85.359
Pubmed ID
Authors

Yoshiyuki Suzuki

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Netherlands 1 <1%
United Kingdom 1 <1%
France 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 98 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 21%
Researcher 16 15%
Student > Bachelor 12 11%
Student > Master 12 11%
Professor > Associate Professor 9 8%
Other 17 16%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 57%
Biochemistry, Genetics and Molecular Biology 18 17%
Mathematics 2 2%
Engineering 2 2%
Social Sciences 1 <1%
Other 3 3%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 July 2022.
All research outputs
#3,885,223
of 25,850,671 outputs
Outputs from Genes and Genetic Systems
#9
of 422 outputs
Outputs of similar age
#19,296
of 175,238 outputs
Outputs of similar age from Genes and Genetic Systems
#1
of 6 outputs
Altmetric has tracked 25,850,671 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 422 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% 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 175,238 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 88% 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