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| Chapter title |
COVID-19: Hard Road to Find Integrated Computational Drug and Repurposing Pipeline
|
|---|---|
| Chapter number | 15 |
| 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_15 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Ankita Sahu, Sahar Qazi, Khalid Raza, Saurabh Verma, Sahu, Ankita, Qazi, Sahar, Raza, Khalid, Verma, Saurabh |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 13% |
| Professor | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 22% |
| Engineering | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Mathematics | 1 | 4% |
| Environmental Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |