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X Demographics
Mendeley readers
| Title |
Predicción del riesgo individual de alto coste sanitario para la identificación de pacientes crónicos complejos
|
|---|---|
| Published in |
Gaceta Sanitaria, April 2014
|
| DOI | 10.1016/j.gaceta.2014.03.003 |
| Pubmed ID | |
| Authors |
Jordi Coderch, Inma Sánchez-Pérez, Pere Ibern, Marc Carreras, Xavier Pérez-Berruezo, José M. Inoriza |
| Abstract |
To develop a predictive model for the risk of high consumption of healthcare resources, and assess the ability of the model to identify complex chronic patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Unknown | 100 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 15% |
| Student > Doctoral Student | 13 | 13% |
| Student > Master | 12 | 12% |
| Professor | 12 | 12% |
| Unspecified | 10 | 10% |
| Other | 20 | 20% |
| Unknown | 20 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 31% |
| Nursing and Health Professions | 10 | 10% |
| Unspecified | 10 | 10% |
| Economics, Econometrics and Finance | 7 | 7% |
| Social Sciences | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 25 | 25% |