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X Demographics
Mendeley readers
| Title |
Brain imaging predictors and the international study to predict optimized treatment for depression: study protocol for a randomized controlled trial
|
|---|---|
| Published in |
Trials, July 2013
|
| DOI | 10.1186/1745-6215-14-224 |
| Pubmed ID | |
| Authors |
Stuart M Grieve, Mayuresh S Korgaonkar, Amit Etkin, Anthony Harris, Stephen H Koslow, Stephen Wisniewski, Alan F Schatzberg, Charles B Nemeroff, Evian Gordon, Leanne M Williams |
| Abstract |
Approximately 50% of patients with major depressive disorder (MDD) do not respond optimally to antidepressant treatments. Given this is a large proportion of the patient population, pretreatment tests that predict which patients will respond to which types of treatment could save time, money and patient burden. Brain imaging offers a means to identify treatment predictors that are grounded in the neurobiology of the treatment and the pathophysiology of MDD. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 33% |
| Netherlands | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Unknown | 165 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 20% |
| Student > Ph. D. Student | 25 | 15% |
| Student > Master | 21 | 13% |
| Student > Bachelor | 19 | 11% |
| Student > Doctoral Student | 8 | 5% |
| Other | 22 | 13% |
| Unknown | 37 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 36 | 22% |
| Medicine and Dentistry | 34 | 20% |
| Neuroscience | 21 | 13% |
| Agricultural and Biological Sciences | 8 | 5% |
| Computer Science | 3 | 2% |
| Other | 19 | 11% |
| Unknown | 45 | 27% |