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InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
14 X users
patent
45 patents
facebook
1 Facebook page
googleplus
2 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
1580 Dimensions

Readers on

mendeley
1276 Mendeley
citeulike
1 CiteULike
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Title
InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams
Published in
BMC Bioinformatics, May 2015
DOI 10.1186/s12859-015-0611-3
Pubmed ID
Authors

Henry Heberle, Gabriela Vaz Meirelles, Felipe R da Silva, Guilherme P Telles, Rosane Minghim

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 1,276 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
France 1 <1%
Australia 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
China 1 <1%
Other 2 <1%
Unknown 1265 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 262 21%
Researcher 192 15%
Student > Master 165 13%
Student > Bachelor 127 10%
Student > Doctoral Student 81 6%
Other 137 11%
Unknown 312 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 329 26%
Agricultural and Biological Sciences 267 21%
Medicine and Dentistry 51 4%
Immunology and Microbiology 43 3%
Environmental Science 29 2%
Other 182 14%
Unknown 375 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 10 October 2023.
All research outputs
#1,084,719
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#85
of 7,763 outputs
Outputs of similar age
#12,996
of 283,994 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 120 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 98% 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 283,994 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 95% of its contemporaries.
We're also able to compare this research output to 120 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 98% of its contemporaries.