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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03637-9 |
| Pubmed ID | |
| Authors |
Vincent Henry, Fatiha Saïs, Olivier Inizan, Elodie Marchadier, Juliette Dibie, Anne Goelzer, Vincent Fromion |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 40% |
| United States | 1 | 10% |
| Netherlands | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Researcher | 3 | 21% |
| Student > Bachelor | 2 | 14% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 29% |
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Engineering | 2 | 14% |
| Agricultural and Biological Sciences | 2 | 14% |
| Philosophy | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 1 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 07 September 2021.
All research outputs
#4,182,603
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,596
of 7,387 outputs
Outputs of similar age
#102,251
of 400,367 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 121 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 78% 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 400,367 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 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.