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VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R

Overview of attention for article published in BMC Bioinformatics, January 2011
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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 (86th percentile)

Mentioned by

twitter
16 tweeters
googleplus
1 Google+ user
q&a
1 Q&A thread

Citations

dimensions_citation
1134 Dimensions

Readers on

mendeley
1062 Mendeley
citeulike
45 CiteULike
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Title
VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R
Published in
BMC Bioinformatics, January 2011
DOI 10.1186/1471-2105-12-35
Pubmed ID
Authors

Hanbo Chen, Paul C Boutros

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters 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 1,062 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 2%
United Kingdom 9 <1%
France 8 <1%
Japan 7 <1%
Germany 5 <1%
Spain 4 <1%
Canada 4 <1%
Sweden 4 <1%
Brazil 4 <1%
Other 24 2%
Unknown 972 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 302 28%
Researcher 253 24%
Student > Master 141 13%
Student > Bachelor 69 6%
Student > Doctoral Student 50 5%
Other 146 14%
Unknown 101 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 484 46%
Biochemistry, Genetics and Molecular Biology 195 18%
Medicine and Dentistry 47 4%
Environmental Science 41 4%
Computer Science 41 4%
Other 119 11%
Unknown 135 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 27 February 2020.
All research outputs
#1,669,678
of 17,389,828 outputs
Outputs from BMC Bioinformatics
#550
of 6,153 outputs
Outputs of similar age
#26,424
of 188,988 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 2 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 91% 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 188,988 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
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. This one has scored higher than all of them