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Mendeley readers
Chapter title |
EEG Signal Analysis for Mild Alzheimer’s Disease Diagnosis by Means of Spectral- and Complexity-Based Features and Machine Learning Techniques
|
---|---|
Chapter number | 40 |
Book title |
Proceedings of the 2nd International Conference on Data Engineering and Communication Technology
|
Published by |
Springer, Singapore, January 2019
|
DOI | 10.1007/978-981-13-1610-4_40 |
Book ISBNs |
978-9-81-131609-8, 978-9-81-131610-4
|
Authors |
Nilesh Kulkarni, Kulkarni, Nilesh |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 23% |
Student > Doctoral Student | 4 | 18% |
Student > Master | 3 | 14% |
Researcher | 2 | 9% |
Student > Bachelor | 1 | 5% |
Other | 3 | 14% |
Unknown | 4 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 36% |
Engineering | 5 | 23% |
Unspecified | 1 | 5% |
Psychology | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Other | 2 | 9% |
Unknown | 4 | 18% |