| Title |
Modeling and Predicting Seasonal Influenza Transmission in Warm Regions Using Climatological Parameters
|
|---|---|
| Published in |
PLOS ONE, March 2010
|
| DOI | 10.1371/journal.pone.0009450 |
| Pubmed ID | |
| Authors |
Radina P. Soebiyanto, Farida Adimi, Richard K. Kiang |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Ecuador | 2 | 1% |
| Hong Kong | 1 | <1% |
| Vietnam | 1 | <1% |
| Malawi | 1 | <1% |
| India | 1 | <1% |
| Kenya | 1 | <1% |
| United Kingdom | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 128 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 22% |
| Student > Ph. D. Student | 25 | 17% |
| Student > Master | 22 | 15% |
| Student > Bachelor | 10 | 7% |
| Professor > Associate Professor | 6 | 4% |
| Other | 20 | 14% |
| Unknown | 28 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 22% |
| Agricultural and Biological Sciences | 22 | 15% |
| Computer Science | 12 | 8% |
| Mathematics | 9 | 6% |
| Nursing and Health Professions | 6 | 4% |
| Other | 31 | 22% |
| Unknown | 32 | 22% |