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Can We Reliably Calibrate Deep Nodes in the Tetrapod Tree? Case Studies in Deep Tetrapod Divergences

Overview of attention for article published in Frontiers in Genetics, October 2020
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About this Attention Score

  • In the top 5% 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 (97th percentile)

Mentioned by

news
2 news outlets
twitter
31 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Can We Reliably Calibrate Deep Nodes in the Tetrapod Tree? Case Studies in Deep Tetrapod Divergences
Published in
Frontiers in Genetics, October 2020
DOI 10.3389/fgene.2020.506749
Pubmed ID
Authors

Jason D. Pardo, Kendra Lennie, Jason S. Anderson

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Professor > Associate Professor 2 13%
Student > Doctoral Student 2 13%
Other 1 6%
Researcher 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 19%
Earth and Planetary Sciences 3 19%
Biochemistry, Genetics and Molecular Biology 1 6%
Environmental Science 1 6%
Social Sciences 1 6%
Other 0 0%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 January 2023.
All research outputs
#1,281,364
of 26,388,722 outputs
Outputs from Frontiers in Genetics
#220
of 13,911 outputs
Outputs of similar age
#33,722
of 442,471 outputs
Outputs of similar age from Frontiers in Genetics
#10
of 453 outputs
Altmetric has tracked 26,388,722 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,911 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 98% 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 442,471 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 453 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.