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Molecular convergent and parallel evolution among four high-elevation anuran species from the Tibetan region

Overview of attention for article published in BMC Genomics, November 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Molecular convergent and parallel evolution among four high-elevation anuran species from the Tibetan region
Published in
BMC Genomics, November 2020
DOI 10.1186/s12864-020-07269-4
Pubmed ID
Authors

Bin Lu, Hong Jin, Jinzhong Fu

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 13%
Researcher 4 13%
Student > Doctoral Student 3 10%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Other 2 7%
Unknown 11 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 20%
Biochemistry, Genetics and Molecular Biology 6 20%
Neuroscience 2 7%
Chemical Engineering 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 February 2023.
All research outputs
#6,953,517
of 25,307,332 outputs
Outputs from BMC Genomics
#2,787
of 11,216 outputs
Outputs of similar age
#159,252
of 524,737 outputs
Outputs of similar age from BMC Genomics
#46
of 187 outputs
Altmetric has tracked 25,307,332 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,216 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 524,737 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 187 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.