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Predicting response to physiotherapy treatment for musculoskeletal shoulder pain: protocol for a longitudinal cohort study

Overview of attention for article published in BMC Musculoskeletal Disorders, June 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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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13 X users

Citations

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16 Dimensions

Readers on

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94 Mendeley
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Title
Predicting response to physiotherapy treatment for musculoskeletal shoulder pain: protocol for a longitudinal cohort study
Published in
BMC Musculoskeletal Disorders, June 2013
DOI 10.1186/1471-2474-14-192
Pubmed ID
Authors

Rachel Chester, Lee Shepstone, Jeremy S Lewis, Christina Jerosch-Herold

Abstract

Shoulder pain affects all ages, with a lifetime prevalence of one in three. The most effective treatment is not known. Physiotherapy is often recommended as the first choice of treatment. At present, it is not possible to identify, from the initial physiotherapy assessment, which factors predict the outcome of physiotherapy for patients with shoulder pain. The primary objective of this study is to identify which patient characteristics and baseline measures, typically assessed at the first physiotherapy appointment, are related to the functional outcome of shoulder pain 6 weeks and 6 months after starting physiotherapy treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 1%
Unknown 93 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 29%
Student > Bachelor 13 14%
Student > Ph. D. Student 6 6%
Other 6 6%
Student > Doctoral Student 5 5%
Other 19 20%
Unknown 18 19%
Readers by discipline Count As %
Medicine and Dentistry 29 31%
Nursing and Health Professions 22 23%
Agricultural and Biological Sciences 3 3%
Social Sciences 3 3%
Chemistry 2 2%
Other 11 12%
Unknown 24 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 May 2016.
All research outputs
#4,082,375
of 22,712,476 outputs
Outputs from BMC Musculoskeletal Disorders
#801
of 4,030 outputs
Outputs of similar age
#35,357
of 196,836 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#13
of 69 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,030 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 80% 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 196,836 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 82% of its contemporaries.
We're also able to compare this research output to 69 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.