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Mendeley readers
| Title |
Drug-target interaction prediction using semi-bipartite graph model and deep learning
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-3518-6 |
| Pubmed ID | |
| Authors |
Hafez Eslami Manoochehri, Mehrdad Nourani |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 18% |
| Student > Master | 9 | 11% |
| Researcher | 6 | 7% |
| Student > Bachelor | 3 | 4% |
| Student > Postgraduate | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 40 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 43 | 52% |