| Title |
Quantifying Aggregated Uncertainty in Plasmodium falciparum Malaria Prevalence and Populations at Risk via Efficient Space-Time Geostatistical Joint Simulation
|
|---|---|
| Published in |
PLoS Computational Biology, April 2010
|
| DOI | 10.1371/journal.pcbi.1000724 |
| Pubmed ID | |
| Authors |
Peter W. Gething, Anand P. Patil, Simon I. Hay |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Kenya | 2 | 2% |
| Canada | 1 | 1% |
| Unknown | 91 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 24% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 20 | 21% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 26% |
| Medicine and Dentistry | 15 | 16% |
| Social Sciences | 8 | 8% |
| Computer Science | 6 | 6% |
| Environmental Science | 6 | 6% |
| Other | 24 | 25% |
| Unknown | 12 | 13% |