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X Demographics
Mendeley readers
Chapter title |
Model-Based Identification of EEG Markers for Learning Opportunities in an Associative Learning Task with Delayed Feedback
|
---|---|
Chapter number | 49 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2014
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Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-11179-7_49 |
Book ISBNs |
978-3-31-911178-0, 978-3-31-911179-7
|
Authors |
Felix Putze, Daniel V. Holt, Tanja Schultz, Joachim Funke |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Hungary | 1 | 7% |
Unknown | 13 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 36% |
Student > Doctoral Student | 3 | 21% |
Researcher | 3 | 21% |
Professor | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 5 | 36% |
Computer Science | 4 | 29% |
Engineering | 3 | 21% |
Neuroscience | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 0 | 0% |