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diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors

Overview of attention for article published in Methods in Ecology and Evolution, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
4 policy sources
twitter
10 X users
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
1103 Dimensions

Readers on

mendeley
879 Mendeley
citeulike
1 CiteULike
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Title
diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors
Published in
Methods in Ecology and Evolution, August 2013
DOI 10.1111/2041-210x.12067
Authors

Kevin Keenan, Philip McGinnity, Tom F. Cross, Walter W. Crozier, Paulo A. Prodöhl

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 879 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Germany 4 <1%
Mexico 3 <1%
Japan 2 <1%
United Kingdom 2 <1%
Italy 2 <1%
Finland 2 <1%
Canada 2 <1%
South Africa 1 <1%
Other 10 1%
Unknown 846 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 194 22%
Researcher 162 18%
Student > Master 144 16%
Student > Bachelor 67 8%
Student > Doctoral Student 49 6%
Other 121 14%
Unknown 142 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 465 53%
Biochemistry, Genetics and Molecular Biology 123 14%
Environmental Science 73 8%
Earth and Planetary Sciences 10 1%
Medicine and Dentistry 4 <1%
Other 28 3%
Unknown 176 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 01 January 2023.
All research outputs
#1,862,965
of 26,255,623 outputs
Outputs from Methods in Ecology and Evolution
#809
of 2,499 outputs
Outputs of similar age
#15,228
of 210,681 outputs
Outputs of similar age from Methods in Ecology and Evolution
#8
of 42 outputs
Altmetric has tracked 26,255,623 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.0. This one has gotten more attention than average, scoring higher than 67% 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 210,681 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 92% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.