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Estimating the phylogeny and divergence times of primates using a supermatrix approach

Overview of attention for article published in BMC Ecology and Evolution, October 2009
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
6 X users
facebook
3 Facebook pages
wikipedia
24 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
261 Dimensions

Readers on

mendeley
376 Mendeley
citeulike
3 CiteULike
Title
Estimating the phylogeny and divergence times of primates using a supermatrix approach
Published in
BMC Ecology and Evolution, October 2009
DOI 10.1186/1471-2148-9-259
Pubmed ID
Authors

Helen J Chatterjee, Simon YW Ho, Ian Barnes, Colin Groves

Abstract

The primates are among the most broadly studied mammalian orders, with the published literature containing extensive analyses of their behavior, physiology, genetics and ecology. The importance of this group in medical and biological research is well appreciated, and explains the numerous molecular phylogenies that have been proposed for most primate families and genera. Composite estimates for the entire order have been infrequently attempted, with the last phylogenetic reconstruction spanning the full range of primate evolutionary relationships having been conducted over a decade ago.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 376 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 4%
Germany 5 1%
Spain 4 1%
United Kingdom 4 1%
Brazil 4 1%
France 2 <1%
Argentina 2 <1%
Netherlands 1 <1%
Colombia 1 <1%
Other 3 <1%
Unknown 335 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 93 25%
Researcher 63 17%
Student > Master 59 16%
Student > Bachelor 51 14%
Student > Doctoral Student 19 5%
Other 52 14%
Unknown 39 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 215 57%
Biochemistry, Genetics and Molecular Biology 37 10%
Environmental Science 20 5%
Social Sciences 15 4%
Earth and Planetary Sciences 14 4%
Other 24 6%
Unknown 51 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 26 March 2024.
All research outputs
#1,109,476
of 25,564,614 outputs
Outputs from BMC Ecology and Evolution
#245
of 3,717 outputs
Outputs of similar age
#3,016
of 108,548 outputs
Outputs of similar age from BMC Ecology and Evolution
#1
of 32 outputs
Altmetric has tracked 25,564,614 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 3,717 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 93% 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 108,548 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 97% 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 particularly well, scoring higher than 99% of its contemporaries.