You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Novelty Detection for Identifying Deterioration in Emergency Department Patients
|
---|---|
Chapter number | 27 |
Book title |
Intelligent Data Engineering and Automated Learning - IDEAL 2011
|
Published by |
Springer Berlin Heidelberg, September 2015
|
DOI | 10.1007/978-3-642-23878-9_27 |
Book ISBNs |
978-3-64-223877-2, 978-3-64-223878-9
|
Authors |
David A. Clifton, David Wong, Susannah Fleming, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko, Clifton, David A., Wong, David, Fleming, Susannah, Wilson, Sarah J., Way, Rob, Pullinger, Richard, Tarassenko, Lionel |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 6% |
Denmark | 1 | 6% |
Unknown | 15 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 35% |
Researcher | 4 | 24% |
Student > Bachelor | 1 | 6% |
Professor | 1 | 6% |
Student > Master | 1 | 6% |
Other | 3 | 18% |
Unknown | 1 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 29% |
Medicine and Dentistry | 4 | 24% |
Computer Science | 3 | 18% |
Nursing and Health Professions | 2 | 12% |
Mathematics | 1 | 6% |
Other | 1 | 6% |
Unknown | 1 | 6% |