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X Demographics
Mendeley readers
| Title |
Improving clinical trial efficiency by biomarker-guided patient selection
|
|---|---|
| Published in |
Trials, April 2014
|
| DOI | 10.1186/1745-6215-15-103 |
| Pubmed ID | |
| Authors |
Ruud Boessen, Hiddo J Lambers Heerspink, Dick De Zeeuw, Diederick E Grobbee, Rolf HH Groenwold, Kit CB Roes |
| Abstract |
In many therapeutic areas, individual patient markers have been identified that are associated with differential treatment response. These markers include both baseline characteristics, as well as short-term changes following treatment. Using such predictive markers to select subjects for inclusion in randomized clinical trials could potentially result in more targeted studies and reduce the number of subjects to recruit. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 5% |
| Unknown | 36 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 32% |
| Agricultural and Biological Sciences | 5 | 13% |
| Psychology | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 7 | 18% |