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Mendeley readers
| Chapter title |
Big Data Analytics for Understanding and Fighting COVID-19
|
|---|---|
| Chapter number | 17 |
| 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_17 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Sandhya Verma, Rajesh Kumar Gazara, Verma, Sandhya, Gazara, Rajesh Kumar |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Other | 4 | 8% |
| Student > Ph. D. Student | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Professor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 25 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 15% |
| Medicine and Dentistry | 3 | 6% |
| Social Sciences | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 10 | 19% |
| Unknown | 27 | 52% |