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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exact solving and sensitivity analysis of stochastic continuous time Boolean models
|
|---|---|
| Published in |
BMC Bioinformatics, June 2020
|
| DOI | 10.1186/s12859-020-03548-9 |
| Pubmed ID | |
| Authors |
Mihály Koltai, Vincent Noel, Andrei Zinovyev, Laurence Calzone, Emmanuel Barillot |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
| France | 1 | 13% |
| Germany | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 45% |
| Other | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 3 | 27% |
| Agricultural and Biological Sciences | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Computer Science | 1 | 9% |
| Physics and Astronomy | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 1 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 16 July 2020.
All research outputs
#2,498,167
of 23,213,531 outputs
Outputs from BMC Bioinformatics
#771
of 7,354 outputs
Outputs of similar age
#68,789
of 399,067 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 143 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,354 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 well, scoring higher than 89% 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 399,067 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 82% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.