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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
Timothy G. Stephens, Debashish Bhattacharya, Mark A. Ragan, Cheong Xin Chan |
| 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. |
X Demographics
The data shown below were collected from the profiles of 59 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 27% |
| Australia | 7 | 12% |
| United Kingdom | 3 | 5% |
| Ireland | 2 | 3% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Spain | 1 | 2% |
| Trinidad and Tobago | 1 | 2% |
| Canada | 1 | 2% |
| Other | 7 | 12% |
| Unknown | 19 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 40 | 68% |
| Members of the public | 17 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Czechia | 2 | 3% |
| France | 1 | 1% |
| Brazil | 1 | 1% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Canada | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 57 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 34% |
| Student > Ph. D. Student | 16 | 24% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 5 | 7% |
| Professor > Associate Professor | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 55% |
| Environmental Science | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Engineering | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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
#905,453
of 25,161,628 outputs
Outputs from PeerJ
#927
of 15,015 outputs
Outputs of similar age
#16,153
of 318,495 outputs
Outputs of similar age from PeerJ
#24
of 304 outputs
Altmetric has tracked 25,161,628 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 15,015 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. 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 318,495 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 94% of its contemporaries.
We're also able to compare this research output to 304 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.