| Title |
Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks
|
|---|---|
| Published in |
BMC Bioinformatics, November 2020
|
| DOI | 10.1186/s12859-020-03668-2 |
| Pubmed ID | |
| Authors |
Rahul Kosarwal, Don Kulasiri, Sandhya Samarasinghe |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Sweden | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
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 % |
|---|---|---|
| Researcher | 3 | 21% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Master | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Librarian | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 14% |
| Physics and Astronomy | 2 | 14% |
| Business, Management and Accounting | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 August 2023.
All research outputs
#7,385,792
of 24,321,976 outputs
Outputs from BMC Bioinformatics
#2,695
of 7,513 outputs
Outputs of similar age
#151,902
of 420,012 outputs
Outputs of similar age from BMC Bioinformatics
#65
of 162 outputs
Altmetric has tracked 24,321,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,513 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 gotten more attention than average, scoring higher than 63% 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 420,012 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 63% of its contemporaries.
We're also able to compare this research output to 162 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.