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Mendeley readers
| Title |
Local topographic wetness indices predict household malaria risk better than land-use and land-cover in the western Kenya highlands
|
|---|---|
| Published in |
Malaria Journal, November 2010
|
| DOI | 10.1186/1475-2875-9-328 |
| Pubmed ID | |
| Authors |
Justin M Cohen, Kacey C Ernst, Kim A Lindblade, John M Vulule, Chandy C John, Mark L Wilson |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 2 | 1% |
| Indonesia | 1 | <1% |
| Pakistan | 1 | <1% |
| Netherlands | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 145 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 24% |
| Researcher | 22 | 14% |
| Student > Ph. D. Student | 22 | 14% |
| Other | 11 | 7% |
| Student > Bachelor | 9 | 6% |
| Other | 30 | 19% |
| Unknown | 23 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 19% |
| Environmental Science | 26 | 17% |
| Medicine and Dentistry | 16 | 10% |
| Earth and Planetary Sciences | 13 | 8% |
| Social Sciences | 7 | 5% |
| Other | 29 | 19% |
| Unknown | 34 | 22% |