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Timeline
Mendeley readers
| Chapter title |
Mobile Technology Solution for COVID-19: Surveillance and Prevention
|
|---|---|
| Chapter number | 5 |
| 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_5 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Shaban Ahmad, Pragya Chitkara, Fatima Nazish Khan, Avtar Kishan, Vaibhav Alok, Ayyagari Ramlal, Sahil Mehta, Ahmad, Shaban, Chitkara, Pragya, Khan, Fatima Nazish, Kishan, Avtar, Alok, Vaibhav, Ramlal, Ayyagari, Mehta, Sahil |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 13% |
| Student > Master | 4 | 13% |
| Other | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 13 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 19% |
| Engineering | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Mathematics | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 14 | 45% |