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Non pharmacological interventions for spasticity in multiple sclerosis

Overview of attention for article published in Cochrane database of systematic reviews, February 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
twitter
9 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
383 Mendeley
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Title
Non pharmacological interventions for spasticity in multiple sclerosis
Published in
Cochrane database of systematic reviews, February 2013
DOI 10.1002/14651858.cd009974.pub2
Pubmed ID
Authors

Bhasker Amatya, Fary Khan, Loredana La Mantia, Marina Demetrios, Derick T Wade

Abstract

Spasticity is commonly experienced by people with multiple sclerosis (MS), and it contributes to overall disability in this population. A wide range of non pharmacological interventions are used in isolation or with pharmacological agents to treat spasticity in MS. Evidence for their effectiveness is yet to be determined.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 4 1%
Canada 2 <1%
Italy 1 <1%
United Kingdom 1 <1%
Sri Lanka 1 <1%
Qatar 1 <1%
Brazil 1 <1%
United States 1 <1%
Unknown 371 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 72 19%
Student > Bachelor 62 16%
Researcher 45 12%
Student > Ph. D. Student 34 9%
Student > Doctoral Student 32 8%
Other 86 22%
Unknown 52 14%
Readers by discipline Count As %
Medicine and Dentistry 136 36%
Nursing and Health Professions 62 16%
Agricultural and Biological Sciences 22 6%
Neuroscience 21 5%
Psychology 17 4%
Other 54 14%
Unknown 71 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 23 March 2020.
All research outputs
#1,176,939
of 15,298,914 outputs
Outputs from Cochrane database of systematic reviews
#3,256
of 11,167 outputs
Outputs of similar age
#12,344
of 151,555 outputs
Outputs of similar age from Cochrane database of systematic reviews
#22
of 101 outputs
Altmetric has tracked 15,298,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one has gotten more attention than average, scoring higher than 70% 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 151,555 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.