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Mendeley readers
Chapter title |
Move Prediction in Go – Modelling Feature Interactions Using Latent Factors
|
---|---|
Chapter number | 23 |
Book title |
KI 2013: Advances in Artificial Intelligence
|
Published by |
Springer, Berlin, Heidelberg, September 2013
|
DOI | 10.1007/978-3-642-40942-4_23 |
Book ISBNs |
978-3-64-240941-7, 978-3-64-240942-4
|
Authors |
Martin Wistuba, Lars Schmidt-Thieme |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
Germany | 1 | 5% |
South Africa | 1 | 5% |
Unknown | 17 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 30% |
Student > Ph. D. Student | 4 | 20% |
Other | 3 | 15% |
Student > Doctoral Student | 3 | 15% |
Researcher | 3 | 15% |
Other | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 70% |
Engineering | 2 | 10% |
Agricultural and Biological Sciences | 1 | 5% |
Mathematics | 1 | 5% |
Chemistry | 1 | 5% |
Other | 1 | 5% |