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X Demographics
Mendeley readers
Title |
Machine Learning and Knowledge Discovery in Databases
|
---|---|
Published by |
Springer, Berlin, Heidelberg, January 2013
|
DOI | 10.1007/978-3-642-40994-3 |
ISBNs |
978-3-64-240993-6, 978-3-64-240994-3
|
Editors |
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný |
X Demographics
The data shown below were collected from the profiles of 50 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 22% |
United Kingdom | 4 | 8% |
Italy | 3 | 6% |
Russia | 1 | 2% |
Germany | 1 | 2% |
Korea, Republic of | 1 | 2% |
Australia | 1 | 2% |
France | 1 | 2% |
Finland | 1 | 2% |
Other | 3 | 6% |
Unknown | 23 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 78% |
Scientists | 11 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 36% |
Researcher | 4 | 18% |
Student > Bachelor | 2 | 9% |
Student > Doctoral Student | 2 | 9% |
Professor | 2 | 9% |
Other | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 45% |
Engineering | 5 | 23% |
Mathematics | 2 | 9% |
Agricultural and Biological Sciences | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Other | 3 | 14% |