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Mendeley readers
| Title |
Using the SaTScan method to detect local malaria clusters for guiding malaria control programmes
|
|---|---|
| Published in |
Malaria Journal, April 2009
|
| DOI | 10.1186/1475-2875-8-68 |
| Pubmed ID | |
| Authors |
Marlize Coleman, Michael Coleman, Aaron M Mabuza, Gerdalize Kok, Maureen Coetzee, David N Durrheim |
Mendeley readers
The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Senegal | 1 | <1% |
| Brazil | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Belgium | 1 | <1% |
| Thailand | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 227 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 19% |
| Researcher | 42 | 18% |
| Student > Master | 41 | 17% |
| Student > Bachelor | 18 | 8% |
| Student > Doctoral Student | 15 | 6% |
| Other | 43 | 18% |
| Unknown | 33 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 22% |
| Medicine and Dentistry | 46 | 19% |
| Social Sciences | 14 | 6% |
| Environmental Science | 13 | 6% |
| Computer Science | 13 | 6% |
| Other | 55 | 23% |
| Unknown | 43 | 18% |