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Mendeley readers
Title |
Text Mining
|
---|---|
Published by |
Springer International Publishing, January 2014
|
DOI | 10.1007/978-3-319-12655-5 |
ISBNs |
978-3-31-912654-8, 978-3-31-912655-5
|
Editors |
Chris Biemann, Alexander Mehler |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 4% |
United States | 1 | 4% |
Unknown | 26 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 18% |
Student > Master | 4 | 14% |
Professor | 4 | 14% |
Researcher | 4 | 14% |
Unspecified | 4 | 14% |
Other | 7 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 25% |
Computer Science | 6 | 21% |
Physics and Astronomy | 5 | 18% |
Unspecified | 4 | 14% |
Business, Management and Accounting | 1 | 4% |
Other | 5 | 18% |