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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PyGNA: a unified framework for geneset network analysis
|
|---|---|
| Published in |
BMC Bioinformatics, October 2020
|
| DOI | 10.1186/s12859-020-03801-1 |
| Pubmed ID | |
| Authors |
Viola Fanfani, Fabio Cassano, Giovanni Stracquadanio |
X Demographics
The data shown below were collected from the profiles of 19 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 | 3 | 16% |
| Brazil | 2 | 11% |
| United States | 2 | 11% |
| Sweden | 1 | 5% |
| India | 1 | 5% |
| Italy | 1 | 5% |
| Unknown | 9 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 53% |
| Scientists | 9 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 22% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 3 | 9% |
| Unspecified | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 22% |
| Computer Science | 5 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Neuroscience | 2 | 6% |
| Philosophy | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 8 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 02 April 2022.
All research outputs
#1,772,862
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#392
of 7,418 outputs
Outputs of similar age
#48,335
of 421,321 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 176 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 421,321 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 88% of its contemporaries.
We're also able to compare this research output to 176 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.