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New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0

Overview of attention for article published in Systematic Biology, May 2010
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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)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
3 news outlets
blogs
3 blogs
policy
3 policy sources
twitter
1 X user
patent
45 patents
wikipedia
3 Wikipedia pages

Readers on

mendeley
5862 Mendeley
citeulike
7 CiteULike
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Article details
Title
New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0
Published in
Systematic Biology, May 2010
DOI 10.1093/sysbio/syq010
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 5,862 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 40 <1%
United Kingdom 28 <1%
Brazil 27 <1%
Germany 15 <1%
Canada 14 <1%
Spain 12 <1%
France 11 <1%
Sweden 11 <1%
Switzerland 10 <1%
Other 81 1%
Unknown 5613 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 1219 21%
Researcher 972 17%
Student > Master 725 12%
Student > Bachelor 553 9%
Student > Doctoral Student 305 5%
Other 855 15%
Unknown 1233 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 2344 40%
Biochemistry, Genetics and Molecular Biology 1115 19%
Environmental Science 215 4%
Immunology and Microbiology 180 3%
Medicine and Dentistry 115 2%
Other 465 8%
Unknown 1428 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 15 June 2026.
All research outputs
#886,056
of 33,834,589 outputs
Outputs from Systematic Biology
#51
of 2,103 outputs
Outputs of similar age
#2,494
of 147,580 outputs
Outputs of similar age from Systematic Biology
#1
of 13 outputs
Altmetric has tracked 33,834,589 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 2,103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. 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 147,580 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 13 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 92% of its contemporaries.