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Mendeley readers
Chapter title |
Advances in Intelligent Based Internet of Medical Things (IoMT) for COVID-19: Olfactory Disorders
|
---|---|
Chapter number | 19 |
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_19 |
Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
Authors |
V. Evelyn Brindha, X. Anitha Mary, Evelyn Brindha, V., Anitha Mary, X. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Professor | 3 | 13% |
Student > Doctoral Student | 2 | 9% |
Lecturer > Senior Lecturer | 2 | 9% |
Unspecified | 2 | 9% |
Other | 6 | 26% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 17% |
Engineering | 3 | 13% |
Medicine and Dentistry | 3 | 13% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Social Sciences | 2 | 9% |
Other | 6 | 26% |
Unknown | 3 | 13% |