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Statistical binning enables an accurate coalescent-based estimation of the avian tree

Overview of attention for article published in Science, December 2014
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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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
7 news outlets
blogs
5 blogs
twitter
6 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
241 Dimensions

Readers on

mendeley
274 Mendeley
citeulike
3 CiteULike
Title
Statistical binning enables an accurate coalescent-based estimation of the avian tree
Published in
Science, December 2014
DOI 10.1126/science.1250463
Pubmed ID
Authors

Siavash Mirarab, Md Shamsuzzoha Bayzid, Bastien Boussau, Tandy Warnow

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 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Germany 5 2%
Brazil 4 1%
Portugal 2 <1%
France 2 <1%
Sweden 2 <1%
Norway 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Other 10 4%
Unknown 239 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 26%
Student > Master 54 20%
Researcher 50 18%
Student > Bachelor 22 8%
Professor 13 5%
Other 50 18%
Unknown 15 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 165 60%
Biochemistry, Genetics and Molecular Biology 42 15%
Computer Science 12 4%
Earth and Planetary Sciences 8 3%
Environmental Science 6 2%
Other 18 7%
Unknown 23 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 91. 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 31 December 2014.
All research outputs
#472,333
of 25,837,817 outputs
Outputs from Science
#11,498
of 83,358 outputs
Outputs of similar age
#5,525
of 371,666 outputs
Outputs of similar age from Science
#179
of 888 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,358 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done well, scoring higher than 86% 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 371,666 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 98% of its contemporaries.
We're also able to compare this research output to 888 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.