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Mendeley readers
| Title |
A predictive model to differentiate dengue from other febrile illness
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2016
|
| DOI | 10.1186/s12879-016-2024-y |
| Pubmed ID | |
| Authors |
Eduardo Fernández, Marek Smieja, Stephen D. Walter, Mark Loeb |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Unknown | 92 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 17% |
| Student > Master | 16 | 17% |
| Other | 7 | 7% |
| Student > Ph. D. Student | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 15 | 16% |
| Unknown | 26 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 24% |
| Agricultural and Biological Sciences | 9 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Immunology and Microbiology | 3 | 3% |
| Other | 16 | 17% |
| Unknown | 36 | 38% |