| Title |
Unscented Kalman filter with parameter identifiability analysis for the estimation of multiple parameters in kinetic models
|
|---|---|
| Published in |
EURASIP Journal on Bioinformatics & Systems Biology, October 2011
|
| DOI | 10.1186/1687-4153-2011-7 |
| Pubmed ID | |
| Authors |
Syed Murtuza Baker, C Hart Poskar, Björn H Junker |
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 % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 34 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Researcher | 9 | 24% |
| Lecturer | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 29% |
| Agricultural and Biological Sciences | 8 | 21% |
| Computer Science | 4 | 11% |
| Physics and Astronomy | 2 | 5% |
| Mathematics | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 8 | 21% |