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Timeline
Mendeley readers
Chapter title |
Predicting Chronic Kidney Failure Disease Using Data Mining Techniques
|
---|---|
Chapter number | 55 |
Book title |
Advances in Ubiquitous Networking 2
|
Published by |
Springer Singapore, January 2017
|
DOI | 10.1007/978-981-10-1627-1_55 |
Book ISBNs |
978-9-81-101626-4, 978-9-81-101627-1
|
Authors |
Basma Boukenze, Abdelkrim Haqiq, Hajar Mousannif |
Editors |
Rachid El-Azouzi, Daniel Sadoc Menasche, Essaïd Sabir, Francesco De Pellegrini, Mustapha Benjillali |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 13% |
Lecturer | 4 | 9% |
Student > Bachelor | 4 | 9% |
Student > Ph. D. Student | 4 | 9% |
Professor > Associate Professor | 3 | 7% |
Other | 4 | 9% |
Unknown | 21 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 33% |
Engineering | 7 | 15% |
Medicine and Dentistry | 2 | 4% |
Physics and Astronomy | 1 | 2% |
Unknown | 21 | 46% |