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Mendeley readers
| Title |
Real-time forecasting of an epidemic using a discrete time stochastic model: a case study of pandemic influenza (H1N1-2009)
|
|---|---|
| Published in |
BioMedical Engineering OnLine, February 2011
|
| DOI | 10.1186/1475-925x-10-15 |
| Pubmed ID | |
| Authors |
Hiroshi Nishiura |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 2 | 2% |
| India | 1 | 1% |
| Italy | 1 | 1% |
| Uzbekistan | 1 | 1% |
| Israel | 1 | 1% |
| Unknown | 79 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 24% |
| Researcher | 16 | 18% |
| Student > Master | 11 | 13% |
| Professor | 7 | 8% |
| Professor > Associate Professor | 4 | 5% |
| Other | 17 | 19% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 17 | 19% |
| Medicine and Dentistry | 16 | 18% |
| Agricultural and Biological Sciences | 12 | 14% |
| Computer Science | 6 | 7% |
| Engineering | 5 | 6% |
| Other | 17 | 19% |
| Unknown | 15 | 17% |