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Timeline
Mendeley readers
| Chapter title |
Computational Intelligence in Drug Repurposing for COVID-19
|
|---|---|
| Chapter number | 14 |
| Book title |
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
|
| Published by |
Springer, Singapore, October 2020
|
| DOI | 10.1007/978-981-15-8534-0_14 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Manish Kumar Tripathi, Sujata Sharma, Tej P. Singh, A. S. Ethayathulla, Punit Kaur, Tripathi, Manish Kumar, Sharma, Sujata, Singh, Tej P., Ethayathulla, A. S., Kaur, Punit |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 22% |
| Student > Doctoral Student | 5 | 19% |
| Professor > Associate Professor | 2 | 7% |
| Other | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 9 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Computer Science | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Mathematics | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 9 | 33% |