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Mendeley readers
| Title |
Automated haematology analysis to diagnose malaria
|
|---|---|
| Published in |
Malaria Journal, November 2010
|
| DOI | 10.1186/1475-2875-9-346 |
| Pubmed ID | |
| Authors |
Germán Campuzano-Zuluaga, Thomas Hänscheid, Martin P Grobusch |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| Pakistan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 95 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 14% |
| Student > Bachelor | 14 | 14% |
| Student > Master | 13 | 13% |
| Researcher | 10 | 10% |
| Student > Postgraduate | 9 | 9% |
| Other | 26 | 26% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 31% |
| Agricultural and Biological Sciences | 17 | 17% |
| Immunology and Microbiology | 7 | 7% |
| Engineering | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Other | 18 | 18% |
| Unknown | 17 | 17% |