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Mendeley readers
| Title |
Estimating Long-Term Survival of Critically Ill Patients: The PREDICT Model
|
|---|---|
| Published in |
PLOS ONE, September 2008
|
| DOI | 10.1371/journal.pone.0003226 |
| Pubmed ID | |
| Authors |
Kwok M. Ho, Matthew Knuiman, Judith Finn, Steven A. Webb |
| Abstract |
Long-term survival outcome of critically ill patients is important in assessing effectiveness of new treatments and making treatment decisions. We developed a prognostic model for estimation of long-term survival of critically ill patients. |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Iceland | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 73 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 20% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Postgraduate | 8 | 11% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 6 | 8% |
| Other | 12 | 16% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 53% |
| Social Sciences | 3 | 4% |
| Economics, Econometrics and Finance | 3 | 4% |
| Computer Science | 3 | 4% |
| Psychology | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 19 | 25% |