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| Chapter title |
Applications of Clinical Text Mining
|
|---|---|
| Chapter number | 10 |
| Book title |
Clinical Text Mining
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-78503-5_10 |
| Book ISBNs |
978-3-31-978502-8, 978-3-31-978503-5
|
| Authors |
Hercules Dalianis, Dalianis, Hercules |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Lecturer | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Researcher | 2 | 10% |
| Professor | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 19% |
| Engineering | 3 | 14% |
| Arts and Humanities | 2 | 10% |
| Linguistics | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 38% |