You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor
|
---|---|
Chapter number | 8 |
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_8 |
Book ISBNs |
978-3-03-055257-2, 978-3-03-055258-9
|
Authors |
S. N. Mohammed, A. K. Abdul Hassan, H. M. Rada, Mohammed, S. N., Abdul Hassan, A. K., Rada, H. M. |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 13% |
Student > Bachelor | 1 | 13% |
Student > Ph. D. Student | 1 | 13% |
Researcher | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Other | 0 | 0% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 25% |
Mathematics | 1 | 13% |
Business, Management and Accounting | 1 | 13% |
Engineering | 1 | 13% |
Unknown | 3 | 38% |