| Title |
Assessment set for evaluation of clinical outcomes in multiple sclerosis: psychometric properties
|
|---|---|
| Published in |
Patient related outcome measures, October 2012
|
| DOI | 10.2147/prom.s32241 |
| Pubmed ID | |
| Authors |
Kamila Rasova, Patricia Martinkova, Jana Vyskotova, Michaela Sedova |
| Abstract |
Multiple sclerosis (MS) manifests itself in a wide range of symptoms. Physiotherapy plays an important role in the treatment of those symptoms connected with mobility. For this therapy to be at its most effective it should be based on a systematic examination that is able to describe and classify damaged clinical functions meaningfully. The purpose of this study was to develop and validate a battery of tests and composite tests that can be used to systematically evaluate clinical features of MS treatable by physiotherapy. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| France | 1 | 2% |
| Unknown | 56 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 11 | 19% |
| Student > Bachelor | 6 | 10% |
| Researcher | 5 | 9% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 33% |
| Nursing and Health Professions | 8 | 14% |
| Neuroscience | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 14 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 May 2018.
All research outputs
#7,856,238
of 25,584,565 outputs
Outputs from Patient related outcome measures
#50
of 186 outputs
Outputs of similar age
#57,796
of 191,340 outputs
Outputs of similar age from Patient related outcome measures
#2
of 4 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 186 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 73% 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 191,340 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.