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Inferring the mammal tree: Species-level sets of phylogenies for questions in ecology, evolution, and conservation

Overview of attention for article published in PLoS Biology, December 2019
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
845 tweeters
facebook
6 Facebook pages
wikipedia
20 Wikipedia pages

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
236 Mendeley
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Title
Inferring the mammal tree: Species-level sets of phylogenies for questions in ecology, evolution, and conservation
Published in
PLoS Biology, December 2019
DOI 10.1371/journal.pbio.3000494
Pubmed ID
Authors

Nathan S. Upham, Jacob A. Esselstyn, Walter Jetz

Twitter Demographics

The data shown below were collected from the profiles of 845 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 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 236 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 21%
Student > Bachelor 37 16%
Researcher 36 15%
Student > Master 35 15%
Professor > Associate Professor 16 7%
Other 38 16%
Unknown 25 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 47%
Biochemistry, Genetics and Molecular Biology 31 13%
Environmental Science 27 11%
Earth and Planetary Sciences 11 5%
Engineering 4 2%
Other 15 6%
Unknown 37 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 394. 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 10 September 2020.
All research outputs
#36,795
of 16,036,062 outputs
Outputs from PLoS Biology
#95
of 4,658 outputs
Outputs of similar age
#1,311
of 376,087 outputs
Outputs of similar age from PLoS Biology
#1
of 17 outputs
Altmetric has tracked 16,036,062 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,658 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.3. This one has done particularly well, scoring higher than 97% 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 376,087 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 99% of its contemporaries.
We're also able to compare this research output to 17 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 94% of its contemporaries.