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Mendeley readers
| Title |
QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction
|
|---|---|
| Published in |
Journal of Cheminformatics, June 2020
|
| DOI | 10.1186/s13321-020-00444-5 |
| Pubmed ID | |
| Authors |
Isidro Cortés-Ciriano, Ctibor Škuta, Andreas Bender, Daniel Svozil |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Researcher | 5 | 17% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Other | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 20% |
| Chemistry | 6 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Environmental Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 10 | 33% |