| Title |
Effects of upper limb robot-assisted therapy on motor recovery in subacute stroke patients
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, June 2014
|
| DOI | 10.1186/1743-0003-11-104 |
| Pubmed ID | |
| Authors |
Patrizio Sale, Marco Franceschini, Stefano Mazzoleni, Enzo Palma, Maurizio Agosti, Federico Posteraro |
| Abstract |
There is little evidence available on the use of robot-assisted therapy in subacute stroke patients. A randomized controlled trial was carried out to evaluate the short-time efficacy of intensive robot-assisted therapy compared to usual physical therapy performed in the early phase after stroke onset. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | <1% |
| Hong Kong | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 313 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 56 | 18% |
| Student > Bachelor | 49 | 15% |
| Researcher | 31 | 10% |
| Student > Ph. D. Student | 30 | 9% |
| Student > Doctoral Student | 17 | 5% |
| Other | 49 | 15% |
| Unknown | 86 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 50 | 16% |
| Medicine and Dentistry | 49 | 15% |
| Engineering | 49 | 15% |
| Neuroscience | 27 | 8% |
| Agricultural and Biological Sciences | 13 | 4% |
| Other | 41 | 13% |
| Unknown | 89 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 April 2019.
All research outputs
#3,071,491
of 25,374,917 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#144
of 1,413 outputs
Outputs of similar age
#29,706
of 242,775 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 242,775 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.