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Mendeley readers
| Title |
A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2010
|
| DOI | 10.1186/1472-6947-10-4 |
| Pubmed ID | |
| Authors |
T Verplancke, S Van Looy, K Steurbaut, D Benoit, F De Turck, G De Moor, J Decruyenaere |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| China | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Researcher | 8 | 13% |
| Student > Master | 5 | 8% |
| Student > Postgraduate | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 22% |
| Computer Science | 10 | 17% |
| Engineering | 5 | 8% |
| Psychology | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 21 | 35% |