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Mendeley readers
| Title |
Prediction of Drug–Drug Interactions by Using Profile Fingerprint Vectors and Protein Similarities
|
|---|---|
| Published in |
Healthcare Informatics Research, January 2020
|
| DOI | 10.4258/hir.2020.26.1.42 |
| Pubmed ID | |
| Authors |
Selma Dere, Serkan Ayvaz |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Student > Master | 3 | 27% |
| Researcher | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 55% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Unknown | 3 | 27% |