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Mendeley readers
Chapter title |
The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach
|
---|---|
Chapter number | 5 |
Book title |
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-55258-9_5 |
Book ISBNs |
978-3-03-055257-2, 978-3-03-055258-9
|
Authors |
Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Sarah Hamed N. Taha, Khalifa, Nour Eldeen M., Taha, Mohamed Hamed N., Hassanien, Aboul Ella, Taha, Sarah Hamed N. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 22% |
Student > Master | 2 | 22% |
Student > Bachelor | 1 | 11% |
Unspecified | 1 | 11% |
Student > Ph. D. Student | 1 | 11% |
Other | 1 | 11% |
Unknown | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 33% |
Unspecified | 1 | 11% |
Arts and Humanities | 1 | 11% |
Business, Management and Accounting | 1 | 11% |
Mathematics | 1 | 11% |
Other | 0 | 0% |
Unknown | 2 | 22% |