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diveRsity: AnRpackage 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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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

Citations

dimensions_citation
809 Dimensions

Readers on

mendeley
768 Mendeley
citeulike
1 CiteULike
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Title
diveRsity: AnRpackage 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

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 768 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%
Brazil 2 <1%
Finland 2 <1%
Canada 2 <1%
Other 10 1%
Unknown 734 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 181 24%
Researcher 153 20%
Student > Master 127 17%
Student > Bachelor 59 8%
Student > Doctoral Student 45 6%
Other 114 15%
Unknown 89 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 444 58%
Biochemistry, Genetics and Molecular Biology 108 14%
Environmental Science 65 8%
Earth and Planetary Sciences 9 1%
Medicine and Dentistry 4 <1%
Other 24 3%
Unknown 114 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 15 March 2022.
All research outputs
#1,900,181
of 21,322,016 outputs
Outputs from Methods in Ecology and Evolution
#1,023
of 2,067 outputs
Outputs of similar age
#16,167
of 173,520 outputs
Outputs of similar age from Methods in Ecology and Evolution
#9
of 32 outputs
Altmetric has tracked 21,322,016 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,067 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 50% 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 173,520 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 90% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.