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Mendeley readers
| Title |
TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs
|
|---|---|
| Published in |
BMC Bioinformatics, November 2018
|
| DOI | 10.1186/s12859-018-2379-8 |
| Pubmed ID | |
| Authors |
Jian-Yu Shi, Hua Huang, Jia-Xin Li, Peng Lei, Yan-Ning Zhang, Kai Dong, Siu-Ming Yiu |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Student > Bachelor | 4 | 14% |
| Student > Master | 3 | 11% |
| Researcher | 2 | 7% |
| Unknown | 15 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 17 | 61% |