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BioVenn – a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams

Overview of attention for article published in BMC Genomics, January 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
2 tweeters
patent
2 patents

Citations

dimensions_citation
901 Dimensions

Readers on

mendeley
629 Mendeley
citeulike
32 CiteULike
connotea
4 Connotea
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Title
BioVenn – a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams
Published in
BMC Genomics, January 2008
DOI 10.1186/1471-2164-9-488
Pubmed ID
Authors

Tim Hulsen, Jacob de Vlieg, Wynand Alkema

Abstract

In many genomics projects, numerous lists containing biological identifiers are produced. Often it is useful to see the overlap between different lists, enabling researchers to quickly observe similarities and differences between the data sets they are analyzing. One of the most popular methods to visualize the overlap and differences between data sets is the Venn diagram: a diagram consisting of two or more circles in which each circle corresponds to a data set, and the overlap between the circles corresponds to the overlap between the data sets. Venn diagrams are especially useful when they are 'area-proportional' i.e. the sizes of the circles and the overlaps correspond to the sizes of the data sets. Currently there are no programs available that can create area-proportional Venn diagrams connected to a wide range of biological databases.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 629 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
Germany 6 <1%
United Kingdom 5 <1%
Sweden 2 <1%
Spain 2 <1%
Netherlands 2 <1%
China 2 <1%
Brazil 2 <1%
Canada 2 <1%
Other 9 1%
Unknown 584 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 179 28%
Researcher 118 19%
Student > Master 96 15%
Student > Bachelor 49 8%
Student > Doctoral Student 35 6%
Other 92 15%
Unknown 60 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 255 41%
Biochemistry, Genetics and Molecular Biology 151 24%
Medicine and Dentistry 37 6%
Neuroscience 18 3%
Computer Science 16 3%
Other 68 11%
Unknown 84 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 November 2016.
All research outputs
#4,827,309
of 17,359,532 outputs
Outputs from BMC Genomics
#2,381
of 9,281 outputs
Outputs of similar age
#66,616
of 263,584 outputs
Outputs of similar age from BMC Genomics
#252
of 1,042 outputs
Altmetric has tracked 17,359,532 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,281 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 73% 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 263,584 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 74% of its contemporaries.
We're also able to compare this research output to 1,042 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.