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ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

Overview of attention for article published in Molecular Biology and Evolution, February 2016
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
36 X users
patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1562 Dimensions

Readers on

mendeley
1006 Mendeley
citeulike
7 CiteULike
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Title
ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data
Published in
Molecular Biology and Evolution, February 2016
DOI 10.1093/molbev/msw046
Pubmed ID
Authors

Jaime Huerta-Cepas, François Serra, Peer Bork

Abstract

The Environment for Tree Exploration (ETE) is a computational framework that simplifies the reconstruction, analysis and visualization of phylogenetic trees and multiple sequence alignments. Here we present ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics. The new features include i) building gene-based and supermatrix-based phylogenies using a single command, ii) testing and visualizing evolutionary models, iii) calculating distances between trees of different size or including duplications, and iv) providing seamless integration with the NCBI taxonomy database. ETE is freely available at http://etetoolkit.org.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 1,006 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 <1%
United States 5 <1%
Spain 4 <1%
France 2 <1%
Canada 2 <1%
Austria 1 <1%
Brazil 1 <1%
South Africa 1 <1%
Czechia 1 <1%
Other 6 <1%
Unknown 975 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 213 21%
Researcher 189 19%
Student > Master 125 12%
Student > Bachelor 125 12%
Student > Doctoral Student 42 4%
Other 129 13%
Unknown 183 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 310 31%
Biochemistry, Genetics and Molecular Biology 292 29%
Computer Science 40 4%
Immunology and Microbiology 28 3%
Environmental Science 18 2%
Other 85 8%
Unknown 233 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 05 February 2024.
All research outputs
#806,377
of 25,067,172 outputs
Outputs from Molecular Biology and Evolution
#317
of 5,207 outputs
Outputs of similar age
#13,837
of 303,942 outputs
Outputs of similar age from Molecular Biology and Evolution
#11
of 63 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,207 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. 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 303,942 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 95% of its contemporaries.
We're also able to compare this research output to 63 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.