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Mendeley readers
Chapter title |
Detection of Chronic Kidney Disease: A NN-GA-Based Approach
|
---|---|
Chapter number | 13 |
Book title |
Nature Inspired Computing
|
Published by |
Springer, Singapore, January 2018
|
DOI | 10.1007/978-981-10-6747-1_13 |
Book ISBNs |
978-9-81-106746-4, 978-9-81-106747-1
|
Authors |
Sirshendu Hore, Sankhadeep Chatterjee, Rahul Kr. Shaw, Nilanjan Dey, Jitendra Virmani, Hore, Sirshendu, Chatterjee, Sankhadeep, Shaw, Rahul Kr., Dey, Nilanjan, Virmani, Jitendra |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 25% |
Student > Master | 3 | 19% |
Student > Ph. D. Student | 2 | 13% |
Lecturer > Senior Lecturer | 1 | 6% |
Lecturer | 1 | 6% |
Other | 2 | 13% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 56% |
Philosophy | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 4 | 25% |