Title |
BioVenn – a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams
|
---|---|
Published in |
BMC Genomics, October 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
Germany | 6 | <1% |
United Kingdom | 5 | <1% |
Canada | 2 | <1% |
Sweden | 2 | <1% |
Netherlands | 2 | <1% |
Brazil | 2 | <1% |
Spain | 2 | <1% |
China | 2 | <1% |
Other | 9 | 1% |
Unknown | 734 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 210 | 27% |
Researcher | 136 | 17% |
Student > Master | 106 | 14% |
Student > Bachelor | 67 | 9% |
Student > Doctoral Student | 39 | 5% |
Other | 102 | 13% |
Unknown | 119 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 265 | 34% |
Biochemistry, Genetics and Molecular Biology | 201 | 26% |
Medicine and Dentistry | 45 | 6% |
Neuroscience | 24 | 3% |
Immunology and Microbiology | 17 | 2% |
Other | 82 | 11% |
Unknown | 145 | 19% |