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Treelink: data integration, clustering and visualization of phylogenetic trees

Overview of attention for article published in BMC Bioinformatics, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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23 X users
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1 patent
googleplus
1 Google+ user

Citations

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9 Dimensions

Readers on

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55 Mendeley
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3 CiteULike
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Title
Treelink: data integration, clustering and visualization of phylogenetic trees
Published in
BMC Bioinformatics, December 2015
DOI 10.1186/s12859-015-0860-1
Pubmed ID
Authors

Christian Allende, Erik Sohn, Cedric Little

Abstract

Phylogenetic trees are central to a wide range of biological studies. In many of these studies, tree nodes need to be associated with a variety of attributes. For example, in studies concerned with viral relationships, tree nodes are associated with epidemiological information, such as location, age and subtype. Gene trees used in comparative genomics are usually linked with taxonomic information, such as functional annotations and events. A wide variety of tree visualization and annotation tools have been developed in the past, however none of them are intended for an integrative and comparative analysis. Treelink is a platform-independent software for linking datasets and sequence files to phylogenetic trees. The application allows an automated integration of datasets to trees for operations such as classifying a tree based on a field or showing the distribution of selected data attributes in branches and leafs. Genomic and proteonomic sequences can also be linked to the tree and extracted from internal and external nodes. A novel clustering algorithm to simplify trees and display the most divergent clades was also developed, where validation can be achieved using the data integration and classification function. Integrated geographical information allows ancestral character reconstruction for phylogeographic plotting based on parsimony and likelihood algorithms. Our software can successfully integrate phylogenetic trees with different data sources, and perform operations to differentiate and visualize those differences within a tree. File support includes the most popular formats such as newick and csv. Exporting visualizations as images, cluster outputs and genomic sequences is supported. Treelink is available as a web and desktop application at http://www.treelinkapp.com .

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Germany 1 2%
Brazil 1 2%
Sweden 1 2%
Finland 1 2%
United Kingdom 1 2%
Slovenia 1 2%
United States 1 2%
Unknown 47 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 38%
Student > Ph. D. Student 11 20%
Student > Master 9 16%
Student > Bachelor 3 5%
Other 3 5%
Other 6 11%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 45%
Computer Science 9 16%
Biochemistry, Genetics and Molecular Biology 7 13%
Environmental Science 2 4%
Earth and Planetary Sciences 2 4%
Other 5 9%
Unknown 5 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 26 April 2023.
All research outputs
#1,973,209
of 25,619,480 outputs
Outputs from BMC Bioinformatics
#408
of 7,731 outputs
Outputs of similar age
#32,734
of 401,060 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 142 outputs
Altmetric has tracked 25,619,480 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,731 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 94% 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 401,060 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 91% of its contemporaries.
We're also able to compare this research output to 142 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 96% of its contemporaries.