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Mendeley readers
| Title |
Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method
|
|---|---|
| Published in |
BMC Systems Biology, June 2014
|
| DOI | 10.1186/1752-0509-8-71 |
| Pubmed ID | |
| Authors |
Tamás Székely, Kevin Burrage, Konstantinos C Zygalakis, Manuel Barrio |
| Abstract |
Biochemical systems with relatively low numbers of components must be simulated stochastically in order to capture their inherent noise. Although there has recently been considerable work on discrete stochastic solvers, there is still a need for numerical methods that are both fast and accurate. The Bulirsch-Stoer method is an established method for solving ordinary differential equations that possesses both of these qualities. |
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 % |
|---|---|---|
| United States | 1 | 5% |
| Belgium | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 47% |
| Researcher | 3 | 16% |
| Student > Master | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 5 | 26% |
| Computer Science | 4 | 21% |
| Engineering | 2 | 11% |
| Physics and Astronomy | 2 | 11% |
| Chemical Engineering | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |