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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Novel Data-Driven Boolean Model for Genetic Regulatory Networks
|
|---|---|
| Published in |
Frontiers in Physiology, September 2018
|
| DOI | 10.3389/fphys.2018.01328 |
| Pubmed ID | |
| Authors |
Leshi Chen, Don Kulasiri, Sandhya Samarasinghe |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| United States | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 5 | 13% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 32% |
| Computer Science | 5 | 13% |
| Mathematics | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Chemical Engineering | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 10 | 26% |
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 16 November 2021.
All research outputs
#13,390,339
of 23,103,903 outputs
Outputs from Frontiers in Physiology
#4,381
of 13,847 outputs
Outputs of similar age
#167,201
of 341,066 outputs
Outputs of similar age from Frontiers in Physiology
#171
of 434 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 66% 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 341,066 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 50% of its contemporaries.
We're also able to compare this research output to 434 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 59% of its contemporaries.