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Mendeley readers
| Title |
Corrigendum: In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts
|
|---|---|
| Published in |
Frontiers in Chemistry, April 2018
|
| DOI | 10.3389/fchem.2018.00129 |
| Pubmed ID | |
| Authors |
Hongbin Yang, Lixia Sun, Weihua Li, Guixia Liu, Yun Tang |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 25% |
| Student > Doctoral Student | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 25% |
| Chemistry | 4 | 20% |
| Computer Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |