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Mendeley readers
| Title |
Adapting a Markov Monte Carlo simulation model for forecasting the number of Coronary Artery Revascularisation Procedures in an era of rapidly changing technology and policy
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2008
|
| DOI | 10.1186/1472-6947-8-27 |
| Pubmed ID | |
| Authors |
Haider R Mannan, Matthew Knuiman, Michael Hobbs |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 15 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Professor > Associate Professor | 3 | 18% |
| Student > Ph. D. Student | 3 | 18% |
| Other | 2 | 12% |
| Researcher | 2 | 12% |
| Other | 1 | 6% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 47% |
| Computer Science | 2 | 12% |
| Nursing and Health Professions | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 18% |