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X Demographics
Mendeley readers
Title |
Machine Learning: ECML 2004
|
---|---|
Published by |
Springer Berlin Heidelberg, January 2004
|
DOI | 10.1007/b100702 |
ISBNs |
978-3-54-023105-9, 978-3-54-030115-8
|
Editors |
Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | <1% |
Malta | 1 | <1% |
Unknown | 114 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 3% |
Student > Bachelor | 3 | 3% |
Professor | 1 | <1% |
Student > Master | 1 | <1% |
Unknown | 107 | 92% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 4% |
Mathematics | 1 | <1% |
Biochemistry, Genetics and Molecular Biology | 1 | <1% |
Medicine and Dentistry | 1 | <1% |
Engineering | 1 | <1% |
Other | 0 | 0% |
Unknown | 107 | 92% |