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Mendeley readers
| Title |
Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
|
|---|---|
| Published by |
AOSIS, June 2016
|
| DOI | 10.4102/sajhivmed.v17i1.450 |
| Pubmed ID | |
| Authors |
Andrew Revell, Paul Khabo, Lotty Ledwaba, Sean Emery, Dechao Wang, Robin Wood, Carl Morrow, Hugo Tempelman, Raph L. Hamers, Peter Reiss, Ard van Sighem, Anton Pozniak, Julio Montaner, H. Clifford Lane, Brendan Larder |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 21% |
| Student > Doctoral Student | 3 | 13% |
| Researcher | 3 | 13% |
| Lecturer | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Nursing and Health Professions | 3 | 13% |
| Immunology and Microbiology | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 7 | 29% |