↓ Skip to main content

Evaluating Fast Maximum Likelihood-Based Phylogenetic Programs Using Empirical Phylogenomic Data Sets

Overview of attention for article published in Molecular Biology and Evolution, November 2017
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Readers on

mendeley
423 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Evaluating Fast Maximum Likelihood-Based Phylogenetic Programs Using Empirical Phylogenomic Data Sets
Published in
Molecular Biology and Evolution, November 2017
DOI 10.1093/molbev/msx302
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 102 X users 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 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Unknown 422 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 82 19%
Student > Master 64 15%
Researcher 58 14%
Student > Bachelor 48 11%
Student > Doctoral Student 16 4%
Other 59 14%
Unknown 96 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 134 32%
Biochemistry, Genetics and Molecular Biology 99 23%
Computer Science 16 4%
Immunology and Microbiology 13 3%
Environmental Science 12 3%
Other 34 8%
Unknown 115 27%
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 29 May 2025.
All research outputs
#909,535
of 34,644,748 outputs
Outputs from Molecular Biology and Evolution
#299
of 6,308 outputs
Outputs of similar age
#15,474
of 495,083 outputs
Outputs of similar age from Molecular Biology and Evolution
#10
of 66 outputs
Altmetric has tracked 34,644,748 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 6,308 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done particularly well, scoring higher than 95% 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 495,083 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 96% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.