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X Demographics
Mendeley readers
Attention Score in Context
| 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
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 779 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% |
| 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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 11 October 2023.
All research outputs
#2,050,633
of 25,374,917 outputs
Outputs from BMC Genomics
#482
of 11,244 outputs
Outputs of similar age
#5,630
of 102,804 outputs
Outputs of similar age from BMC Genomics
#2
of 59 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 102,804 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 94% of its contemporaries.
We're also able to compare this research output to 59 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 96% of its contemporaries.