| Title |
The Personalized Advantage Index: Translating Research on Prediction into Individualized Treatment Recommendations. A Demonstration
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0083875 |
| Pubmed ID | |
| Authors |
Robert J. DeRubeis, Zachary D. Cohen, Nicholas R. Forand, Jay C. Fournier, Lois A. Gelfand, Lorenzo Lorenzo-Luaces |
| Abstract |
Advances in personalized medicine require the identification of variables that predict differential response to treatments as well as the development and refinement of methods to transform predictive information into actionable recommendations. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 50% |
| United Kingdom | 2 | 20% |
| Germany | 2 | 20% |
| Japan | 1 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Spain | 2 | <1% |
| United States | 2 | <1% |
| Canada | 1 | <1% |
| Unknown | 378 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 22% |
| Researcher | 53 | 14% |
| Student > Master | 51 | 13% |
| Student > Bachelor | 39 | 10% |
| Student > Doctoral Student | 21 | 5% |
| Other | 65 | 17% |
| Unknown | 72 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 163 | 42% |
| Medicine and Dentistry | 43 | 11% |
| Neuroscience | 15 | 4% |
| Social Sciences | 11 | 3% |
| Computer Science | 10 | 3% |
| Other | 40 | 10% |
| Unknown | 103 | 27% |