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Mendeley readers
Chapter title |
From Dependency to Causality: A Machine Learning Approach
|
---|---|
Chapter number | 9 |
Book title |
Cause Effect Pairs in Machine Learning
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-21810-2_9 |
Book ISBNs |
978-3-03-021809-6, 978-3-03-021810-2
|
Authors |
Gianluca Bontempi, Maxime Flauder |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
Germany | 1 | <1% |
Belgium | 1 | <1% |
United Kingdom | 1 | <1% |
Japan | 1 | <1% |
Russia | 1 | <1% |
Unknown | 119 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 25% |
Student > Master | 26 | 20% |
Researcher | 21 | 16% |
Student > Doctoral Student | 7 | 5% |
Professor | 5 | 4% |
Other | 11 | 9% |
Unknown | 27 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 52 | 40% |
Engineering | 14 | 11% |
Mathematics | 10 | 8% |
Economics, Econometrics and Finance | 8 | 6% |
Physics and Astronomy | 4 | 3% |
Other | 12 | 9% |
Unknown | 29 | 22% |