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Mendeley readers
| Chapter title |
An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis
|
|---|---|
| Chapter number | 1 |
| 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_1 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Khalid Raza, Maryam, Sahar Qazi, Raza, Khalid, Qazi, Sahar |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 16% |
| Researcher | 10 | 12% |
| Student > Ph. D. Student | 10 | 12% |
| Student > Bachelor | 6 | 7% |
| Lecturer | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 25 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 23% |
| Engineering | 8 | 10% |
| Medicine and Dentistry | 6 | 7% |
| Nursing and Health Professions | 2 | 2% |
| Economics, Econometrics and Finance | 2 | 2% |
| Other | 16 | 20% |
| Unknown | 28 | 35% |