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| Chapter title |
Computational Intelligence in Vaccine Design Against COVID-19
|
|---|---|
| Chapter number | 16 |
| 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_16 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Kaushik Kumar Bharadwaj, Ankit Srivastava, Manasa Kumar Panda, Yengkhom Disco Singh, Rojali Maharana, Kalicharan Mandal, B. S. Manisha Singh, Dipanjali Singh, Mohinikanti Das, Devasish Murmu, Sandeep Kumar Kabi, Bharadwaj, Kaushik Kumar, Srivastava, Ankit, Panda, Manasa Kumar, Singh, Yengkhom Disco, Maharana, Rojali, Mandal, Kalicharan, Manisha Singh, B. S., Singh, Dipanjali, Das, Mohinikanti, Murmu, Devasish, Kabi, Sandeep Kumar |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 16% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Master | 6 | 11% |
| Researcher | 5 | 9% |
| Professor | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 18 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 12% |
| Medicine and Dentistry | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
| Engineering | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 22 | 39% |