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Timeline
Mendeley readers
| Chapter title |
Rapid Computer Diagnosis for the Deadly Zoonotic COVID-19 Infection
|
|---|---|
| Chapter number | 12 |
| 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_12 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Peter Mudiaga Etaware, Etaware, Peter Mudiaga |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 20% |
| Librarian | 1 | 10% |
| Other | 1 | 10% |
| Professor | 1 | 10% |
| Lecturer | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 20% |
| Environmental Science | 1 | 10% |
| Mathematics | 1 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Computer Science | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |