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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reactome pathway analysis: a high-performance in-memory approach
|
|---|---|
| Published in |
BMC Bioinformatics, March 2017
|
| DOI | 10.1186/s12859-017-1559-2 |
| Pubmed ID | |
| Authors |
Antonio Fabregat, Konstantinos Sidiropoulos, Guilherme Viteri, Oscar Forner, Pablo Marin-Garcia, Vicente Arnau, Peter D’Eustachio, Lincoln Stein, Henning Hermjakob |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 19% |
| United States | 3 | 19% |
| Israel | 2 | 13% |
| Netherlands | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 508 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Israel | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 505 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 100 | 20% |
| Student > Master | 65 | 13% |
| Researcher | 57 | 11% |
| Student > Bachelor | 54 | 11% |
| Student > Doctoral Student | 29 | 6% |
| Other | 65 | 13% |
| Unknown | 138 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 139 | 27% |
| Agricultural and Biological Sciences | 51 | 10% |
| Medicine and Dentistry | 39 | 8% |
| Computer Science | 25 | 5% |
| Immunology and Microbiology | 21 | 4% |
| Other | 70 | 14% |
| Unknown | 163 | 32% |
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 31 August 2023.
All research outputs
#2,014,944
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#425
of 7,793 outputs
Outputs of similar age
#37,811
of 326,835 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 141 outputs
Altmetric has tracked 26,017,215 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 326,835 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 141 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 94% of its contemporaries.