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| Title |
Machine Learning in Healthcare Informatics
|
|---|---|
| Published by |
Springer Berlin Heidelberg, December 2013
|
| DOI | 10.1007/978-3-642-40017-9 |
| ISBNs |
978-3-64-240016-2, 978-3-64-240017-9, 978-3-66-250763-6
|
| Editors |
Dua, Sumeet, Acharya, U. Rajendra, Dua, Prerna |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 1% |
| Brazil | 2 | 1% |
| Australia | 1 | <1% |
| Hong Kong | 1 | <1% |
| Switzerland | 1 | <1% |
| Singapore | 1 | <1% |
| Sweden | 1 | <1% |
| China | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 181 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 22% |
| Student > Master | 42 | 22% |
| Researcher | 35 | 18% |
| Student > Bachelor | 15 | 8% |
| Student > Doctoral Student | 11 | 6% |
| Other | 29 | 15% |
| Unknown | 17 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 66 | 34% |
| Engineering | 45 | 23% |
| Medicine and Dentistry | 10 | 5% |
| Business, Management and Accounting | 7 | 4% |
| Agricultural and Biological Sciences | 7 | 4% |
| Other | 32 | 17% |
| Unknown | 25 | 13% |