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Predicting response to physiotherapy treatment for musculoskeletal shoulder pain: a systematic review

Overview of attention for article published in BMC Musculoskeletal Disorders, July 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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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22 X users
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2 Facebook pages

Citations

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63 Dimensions

Readers on

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305 Mendeley
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Title
Predicting response to physiotherapy treatment for musculoskeletal shoulder pain: a systematic review
Published in
BMC Musculoskeletal Disorders, July 2013
DOI 10.1186/1471-2474-14-203
Pubmed ID
Authors

Rachel Chester, Lee Shepstone, Helena Daniell, David Sweeting, Jeremy Lewis, Christina Jerosch-Herold

Abstract

People suffering from musculoskeletal shoulder pain are frequently referred to physiotherapy. Physiotherapy generally involves a multimodal approach to management that may include; exercise, manual therapy and techniques to reduce pain. At present it is not possible to predict which patients will respond positively to physiotherapy treatment. The purpose of this systematic review was to identify which prognostic factors are associated with the outcome of physiotherapy in the management of musculoskeletal shoulder pain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 2 <1%
Netherlands 1 <1%
New Zealand 1 <1%
Belgium 1 <1%
Spain 1 <1%
Unknown 299 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 51 17%
Student > Bachelor 34 11%
Student > Ph. D. Student 28 9%
Other 26 9%
Researcher 20 7%
Other 54 18%
Unknown 92 30%
Readers by discipline Count As %
Medicine and Dentistry 99 32%
Nursing and Health Professions 54 18%
Sports and Recreations 10 3%
Social Sciences 8 3%
Agricultural and Biological Sciences 7 2%
Other 24 8%
Unknown 103 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 09 March 2019.
All research outputs
#2,344,931
of 23,314,015 outputs
Outputs from BMC Musculoskeletal Disorders
#480
of 4,132 outputs
Outputs of similar age
#20,627
of 195,533 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#7
of 82 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,132 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 88% 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 195,533 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 89% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.