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An invariants-based method for efficient identification of hybrid species from large-scale genomic data

Overview of attention for article published in BMC Evolutionary Biology, May 2019
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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 (89th percentile)

Mentioned by

twitter
34 tweeters
peer_reviews
1 peer review site

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
88 Mendeley
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Title
An invariants-based method for efficient identification of hybrid species from large-scale genomic data
Published in
BMC Evolutionary Biology, May 2019
DOI 10.1186/s12862-019-1439-7
Pubmed ID
Authors

Laura S. Kubatko, Julia Chifman

Twitter Demographics

The data shown below were collected from the profiles of 34 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 17 19%
Student > Master 14 16%
Student > Doctoral Student 7 8%
Student > Bachelor 6 7%
Other 11 13%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 57%
Biochemistry, Genetics and Molecular Biology 11 13%
Environmental Science 5 6%
Mathematics 1 1%
Computer Science 1 1%
Other 1 1%
Unknown 19 22%

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 25 September 2020.
All research outputs
#1,209,878
of 18,954,860 outputs
Outputs from BMC Evolutionary Biology
#278
of 2,838 outputs
Outputs of similar age
#29,064
of 279,797 outputs
Outputs of similar age from BMC Evolutionary Biology
#1
of 1 outputs
Altmetric has tracked 18,954,860 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,838 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 90% 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 279,797 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 89% of its contemporaries.
We're also able to compare this research output to 1 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