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TPMS: a set of utilities for querying collections of gene trees

Overview of attention for article published in BMC Bioinformatics, March 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 X users

Citations

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6 Dimensions

Readers on

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22 Mendeley
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Title
TPMS: a set of utilities for querying collections of gene trees
Published in
BMC Bioinformatics, March 2013
DOI 10.1186/1471-2105-14-109
Pubmed ID
Authors

Thomas Bigot, Vincent Daubin, Florent Lassalle, Guy Perrière

Abstract

The information in large collections of phylogenetic trees is useful for many comparative genomic studies. Therefore, there is a need for flexible tools that allow exploration of such collections in order to retrieve relevant data as quickly as possible.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 9%
Poland 1 5%
Germany 1 5%
Brazil 1 5%
Unknown 17 77%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 50%
Researcher 7 32%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 1 5%
Other 0 0%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 55%
Computer Science 4 18%
Biochemistry, Genetics and Molecular Biology 3 14%
Environmental Science 1 5%
Chemistry 1 5%
Other 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 March 2013.
All research outputs
#12,679,392
of 22,703,044 outputs
Outputs from BMC Bioinformatics
#3,620
of 7,254 outputs
Outputs of similar age
#99,762
of 197,838 outputs
Outputs of similar age from BMC Bioinformatics
#73
of 145 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 48th percentile – i.e., 48% 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 197,838 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.