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Mendeley readers
Chapter title |
DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals
|
---|---|
Chapter number | 77 |
Book title |
Mechatronics 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-65960-2_77 |
Book ISBNs |
978-3-31-965959-6, 978-3-31-965960-2
|
Authors |
Abdulkadir Sengur, Mehmet Gedikpinar, Yaman Akbulut, Erkan Deniz, Varun Bajaj, Yanhui Guo |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 19% |
Student > Master | 4 | 15% |
Lecturer | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Researcher | 2 | 8% |
Other | 1 | 4% |
Unknown | 10 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 31% |
Computer Science | 5 | 19% |
Physics and Astronomy | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Unknown | 11 | 42% |