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Mendeley readers
Chapter title |
Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI)
|
---|---|
Chapter number | 84 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2012
|
Published by |
Springer, Berlin, Heidelberg, September 2012
|
DOI | 10.1007/978-3-642-33269-2_84 |
Book ISBNs |
978-3-64-233268-5, 978-3-64-233269-2
|
Authors |
Martin Spüler, Wolfgang Rosenstiel, Martin Bogdan |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 9% |
Italy | 1 | 3% |
Canada | 1 | 3% |
Unknown | 30 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 23% |
Student > Master | 6 | 17% |
Researcher | 6 | 17% |
Student > Doctoral Student | 5 | 14% |
Student > Bachelor | 3 | 9% |
Other | 2 | 6% |
Unknown | 5 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 26% |
Computer Science | 7 | 20% |
Psychology | 6 | 17% |
Medicine and Dentistry | 2 | 6% |
Neuroscience | 2 | 6% |
Other | 1 | 3% |
Unknown | 8 | 23% |