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Mendeley readers
| Title |
Improving statistical inference on pathogen densities estimated by quantitative molecular methods: malaria gametocytaemia as a case study
|
|---|---|
| Published in |
BMC Bioinformatics, January 2015
|
| DOI | 10.1186/s12859-014-0402-2 |
| Pubmed ID | |
| Authors |
Martin Walker, María-Gloria Basáñez, André Lin Ouédraogo, Cornelus Hermsen, Teun Bousema, Thomas S Churcher |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 26% |
| Student > Ph. D. Student | 7 | 23% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 23% |
| Medicine and Dentistry | 4 | 13% |
| Computer Science | 3 | 10% |
| Immunology and Microbiology | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 9 | 29% |