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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring attractor bifurcations in Boolean networks
|
|---|---|
| Published in |
BMC Bioinformatics, May 2022
|
| DOI | 10.1186/s12859-022-04708-9 |
| Pubmed ID | |
| Authors |
Nikola Beneš, Luboš Brim, Jakub Kadlecaj, Samuel Pastva, David Šafránek |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Sweden | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 37% |
| Researcher | 3 | 16% |
| Student > Ph. D. Student | 2 | 11% |
| Professor | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 37% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Computer Science | 2 | 11% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 May 2022.
All research outputs
#13,963,156
of 23,770,218 outputs
Outputs from BMC Bioinformatics
#4,260
of 7,434 outputs
Outputs of similar age
#189,040
of 444,369 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 151 outputs
Altmetric has tracked 23,770,218 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 444,369 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 56% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.