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Mendeley readers
| Title |
Prolonged ventilation post cardiac surgery - tips and pitfalls of the prediction game
|
|---|---|
| Published in |
Journal of Cardiothoracic Surgery, November 2011
|
| DOI | 10.1186/1749-8090-6-158 |
| Pubmed ID | |
| Authors |
Piotr Knapik, Daniel Ciesla, Dawid Borowik, Piotr Czempik, Tomasz Knapik |
| Abstract |
Few available models aim to identify patients at risk of prolonged ventilation after cardiac surgery. We compared prediction models developed in ICU in two adjacent periods of time, when significant changes were observed both in population characteristics and the perioperative management. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 18% |
| Researcher | 6 | 13% |
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 53% |
| Nursing and Health Professions | 7 | 16% |
| Computer Science | 2 | 4% |
| Social Sciences | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 10 | 22% |