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Mendeley readers
| Chapter title |
Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles
|
|---|---|
| Chapter number | 4 |
| Book title |
Natural Language Processing and Text Mining
|
| Published by |
Springer, London, January 2007
|
| DOI | 10.1007/978-1-84628-754-1_4 |
| Book ISBNs |
978-1-84628-175-4, 978-1-84628-754-1
|
| Authors |
Eni Mustafaraj, Martin Hoof, Bernd Freisleben, Mustafaraj, Eni, Hoof, Martin, Freisleben, Bernd |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 5% |
| Germany | 1 | 5% |
| Virgin Islands, U.S. | 1 | 5% |
| Unknown | 16 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 26% |
| Student > Bachelor | 3 | 16% |
| Student > Master | 3 | 16% |
| Professor > Associate Professor | 2 | 11% |
| Researcher | 2 | 11% |
| Other | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 32% |
| Business, Management and Accounting | 5 | 26% |
| Environmental Science | 2 | 11% |
| Linguistics | 2 | 11% |
| Economics, Econometrics and Finance | 2 | 11% |
| Other | 2 | 11% |