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| Title |
Clinical Text Mining
|
|---|---|
| Published by |
Springer International Publishing, May 2018
|
| DOI | 10.1007/978-3-319-78503-5 |
| 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 profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 12% |
| Norway | 2 | 12% |
| Saudi Arabia | 1 | 6% |
| Tanzania, United Republic of | 1 | 6% |
| Australia | 1 | 6% |
| Italy | 1 | 6% |
| Greece | 1 | 6% |
| United Kingdom | 1 | 6% |
| Sweden | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Scientists | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 221 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 38 | 17% |
| Researcher | 23 | 10% |
| Student > Ph. D. Student | 22 | 10% |
| Student > Bachelor | 22 | 10% |
| Other | 12 | 5% |
| Other | 39 | 18% |
| Unknown | 65 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 59 | 27% |
| Medicine and Dentistry | 19 | 9% |
| Engineering | 16 | 7% |
| Unspecified | 9 | 4% |
| Nursing and Health Professions | 8 | 4% |
| Other | 43 | 19% |
| Unknown | 67 | 30% |