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Mendeley readers
| Title |
Prediction of hepatitis C virus interferon/ribavirin therapy outcome based on viral nucleotide attributes using machine learning algorithms
|
|---|---|
| Published in |
BMC Research Notes, August 2014
|
| DOI | 10.1186/1756-0500-7-565 |
| Pubmed ID | |
| Authors |
Amir Hossein KayvanJoo, Mansour Ebrahimi, Gholamreza Haqshenas |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 8 | 12% |
| Researcher | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Other | 14 | 22% |
| Unknown | 18 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 17% |
| Computer Science | 7 | 11% |
| Agricultural and Biological Sciences | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Engineering | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 22 | 34% |