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 |
Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks
|
---|---|
Chapter number | 43 |
Book title |
Rough Sets and Current Trends in Computing
|
Published by |
Springer, Berlin, Heidelberg, November 2006
|
DOI | 10.1007/11908029_43 |
Book ISBNs |
978-3-54-047693-1, 978-3-54-049842-1
|
Authors |
Kenneth Revett, Marcin Szczuka, Pari Jahankhani, Vassilis Kodogiannis, Revett, Kenneth, Szczuka, Marcin, Jahankhani, Pari, Kodogiannis, Vassilis |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 9% |
Unknown | 10 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 18% |
Professor | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Researcher | 1 | 9% |
Professor > Associate Professor | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 18% |
Engineering | 2 | 18% |
Medicine and Dentistry | 1 | 9% |
Nursing and Health Professions | 1 | 9% |
Unknown | 5 | 45% |