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TreeDyn: towards dynamic graphics and annotations for analyses of trees

Overview of attention for article published in BMC Bioinformatics, October 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
912 Dimensions

Readers on

mendeley
536 Mendeley
citeulike
9 CiteULike
connotea
3 Connotea
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Title
TreeDyn: towards dynamic graphics and annotations for analyses of trees
Published in
BMC Bioinformatics, October 2006
DOI 10.1186/1471-2105-7-439
Pubmed ID
Authors

François Chevenet, Christine Brun, Anne-Laure Bañuls, Bernard Jacq, Richard Christen

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 536 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
Germany 4 <1%
Netherlands 3 <1%
Brazil 3 <1%
Canada 3 <1%
United Kingdom 3 <1%
France 2 <1%
Spain 2 <1%
Australia 2 <1%
Other 9 2%
Unknown 497 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 127 24%
Researcher 101 19%
Student > Master 74 14%
Student > Bachelor 55 10%
Student > Doctoral Student 20 4%
Other 81 15%
Unknown 78 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 256 48%
Biochemistry, Genetics and Molecular Biology 99 18%
Computer Science 18 3%
Immunology and Microbiology 15 3%
Environmental Science 10 2%
Other 43 8%
Unknown 95 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 May 2022.
All research outputs
#8,158,001
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#2,931
of 7,763 outputs
Outputs of similar age
#29,042
of 86,228 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 45 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 60% 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 86,228 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.