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PhyloPattern: regular expressions to identify complex patterns in phylogenetic trees

Overview of attention for article published in BMC Bioinformatics, September 2009
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Mentioned by

twitter
1 tweeter

Citations

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51 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
12 CiteULike
connotea
4 Connotea
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Title
PhyloPattern: regular expressions to identify complex patterns in phylogenetic trees
Published in
BMC Bioinformatics, September 2009
DOI 10.1186/1471-2105-10-298
Pubmed ID
Authors

Philippe Gouret, Julie D Thompson, Pierre Pontarotti

Abstract

To effectively apply evolutionary concepts in genome-scale studies, large numbers of phylogenetic trees have to be automatically analysed, at a level approaching human expertise. Complex architectures must be recognized within the trees, so that associated information can be extracted.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Brazil 3 4%
Sweden 2 3%
Australia 1 1%
France 1 1%
Indonesia 1 1%
Netherlands 1 1%
Germany 1 1%
United Kingdom 1 1%
Other 3 4%
Unknown 56 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 34%
Student > Ph. D. Student 17 23%
Student > Master 5 7%
Professor > Associate Professor 4 5%
Professor 4 5%
Other 11 15%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 58%
Computer Science 11 15%
Engineering 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Medicine and Dentistry 2 3%
Other 6 8%
Unknown 6 8%

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 12 December 2012.
All research outputs
#8,438,000
of 10,686,932 outputs
Outputs from BMC Bioinformatics
#3,494
of 4,171 outputs
Outputs of similar age
#213,755
of 305,525 outputs
Outputs of similar age from BMC Bioinformatics
#121
of 146 outputs
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So far Altmetric has tracked 4,171 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.