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Mendeley readers
| Chapter title |
Computational Intelligence Approach for Prediction of COVID-19 Using Particle Swarm Optimization
|
|---|---|
| Chapter number | 9 |
| 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_9 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
R. S. M. Lakshmi Patibandla, V. Lakshman Narayana, Patibandla, R. S. M. Lakshmi, Narayana, V. Lakshman |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Other | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 3 | 25% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 25% |
| Medicine and Dentistry | 2 | 17% |
| Unspecified | 1 | 8% |
| Business, Management and Accounting | 1 | 8% |
| Environmental Science | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |