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PhySortR: a fast, flexible tool for sorting phylogenetic trees in R

Overview of attention for article published in PeerJ, May 2016
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  • 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 (91st percentile)

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2 blogs
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3 Facebook pages

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70 Mendeley
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Article details
Title
PhySortR: a fast, flexible tool for sorting phylogenetic trees in R
Published in
PeerJ, May 2016
DOI 10.7717/peerj.2038
Pubmed ID
Authors
Abstract

A frequent bottleneck in interpreting phylogenomic output is the need to screen often thousands of trees for features of interest, particularly robust clades of specific taxa, as evidence of monophyletic relationship and/or reticulated evolution. Here we present PhySortR, a fast, flexible R package for classifying phylogenetic trees. Unlike existing utilities, PhySortR allows for identification of both exclusive and non-exclusive clades uniting the target taxa based on tip labels (i.e., leaves) on a tree, with customisable options to assess clades within the context of the whole tree. Using simulated and empirical datasets, we demonstrate the potential and scalability of PhySortR in analysis of thousands of phylogenetic trees without a priori assumption of tree-rooting, and in yielding readily interpretable trees that unambiguously satisfy the query. PhySortR is a command-line tool that is freely available and easily automatable.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 70 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 %
Spain 2 3%
Czechia 2 3%
United States 1 1%
Sweden 1 1%
France 1 1%
Germany 1 1%
Canada 1 1%
Brazil 1 1%
Unknown 60 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 23 33%
Student > Ph. D. Student 16 23%
Student > Bachelor 6 9%
Student > Master 5 7%
Professor > Associate Professor 3 4%
Other 5 7%
Unknown 12 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 37 53%
Environmental Science 5 7%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 3 4%
Computer Science 2 3%
Other 3 4%
Unknown 15 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 20 May 2016.
All research outputs
#1,215,154
of 31,916,488 outputs
Outputs from PeerJ
#1,078
of 16,355 outputs
Outputs of similar age
#16,163
of 327,477 outputs
Outputs of similar age from PeerJ
#26
of 302 outputs
Altmetric has tracked 31,916,488 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 16,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. 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 327,477 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 302 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 91% of its contemporaries.