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TreeViewJ: An application for viewing and analyzing phylogenetic trees

Overview of attention for article published in Source Code for Biology and Medicine, October 2007
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1 X user

Citations

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Readers on

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Title
TreeViewJ: An application for viewing and analyzing phylogenetic trees
Published in
Source Code for Biology and Medicine, October 2007
DOI 10.1186/1751-0473-2-7
Pubmed ID
Authors

Matthew W Peterson, Marc E Colosimo

Abstract

Phylogenetic trees are widely used to visualize evolutionary relationships between different organisms or samples of the same organism. There exists a variety of both free and commercial tree visualization software available, but limitations in these programs often require researchers to use multiple programs for analysis, annotation, and the production of publication-ready images. We present TreeViewJ, a Java tool for visualizing, editing and analyzing phylogenetic trees. The software allows researchers to color and change the width of branches that they wish to highlight, and add names to nodes. If collection dates are available for taxa, the software can map them onto a timeline, and sort the tree in ascending or descending date order. TreeViewJ is a tool for researchers to visualize, edit, "decorate," and produce publication-ready images of phylogenetic trees. It is open-source, and released under an GPL license, and available at http://treeviewj.sourceforge.net.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 8%
United States 2 8%
Colombia 1 4%
Sweden 1 4%
Unknown 18 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 5 21%
Student > Master 4 17%
Other 3 13%
Student > Bachelor 1 4%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 50%
Computer Science 3 13%
Biochemistry, Genetics and Molecular Biology 3 13%
Environmental Science 1 4%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 February 2017.
All research outputs
#15,447,117
of 22,955,959 outputs
Outputs from Source Code for Biology and Medicine
#85
of 127 outputs
Outputs of similar age
#66,210
of 77,150 outputs
Outputs of similar age from Source Code for Biology and Medicine
#2
of 2 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 77,150 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.