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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% |