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X Demographics
Mendeley readers
| Title |
Using mixed methods to evaluate efficacy and user expectations of a virtual reality–based training system for upper-limb recovery in patients after stroke: a study protocol for a randomised controlled trial
|
|---|---|
| Published in |
Trials, September 2014
|
| DOI | 10.1186/1745-6215-15-350 |
| Pubmed ID | |
| Authors |
Corina Schuster-Amft, Kynan Eng, Isabelle Lehmann, Ludwig Schmid, Nagisa Kobashi, Irène Thaler, Martin L Verra, Andrea Henneke, Sandra Signer, Michael McCaskey, Daniel Kiper |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 458 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 453 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 76 | 17% |
| Student > Master | 74 | 16% |
| Student > Ph. D. Student | 44 | 10% |
| Researcher | 33 | 7% |
| Student > Doctoral Student | 27 | 6% |
| Other | 73 | 16% |
| Unknown | 131 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 95 | 21% |
| Medicine and Dentistry | 61 | 13% |
| Psychology | 27 | 6% |
| Neuroscience | 26 | 6% |
| Computer Science | 21 | 5% |
| Other | 77 | 17% |
| Unknown | 151 | 33% |