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A systematic review of measures of shoulder pain and functioning using the International classification of functioning, disability and health (ICF)

Overview of attention for article published in BMC Musculoskeletal Disorders, February 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
4 news outlets
twitter
3 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
146 Mendeley
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Title
A systematic review of measures of shoulder pain and functioning using the International classification of functioning, disability and health (ICF)
Published in
BMC Musculoskeletal Disorders, February 2013
DOI 10.1186/1471-2474-14-73
Pubmed ID
Authors

Yngve Roe, Helene Lundegaard Soberg, Erik Bautz-Holter, Sigrid Ostensjo

Abstract

Shoulder pain is a common condition with prevalence estimates of 7-26% and the associated disability is multi-faceted. For functional assessments in clinic and research, a number of condition-specific and generic measures are available. With the approval of the ICF, a system is now available for the analysis of health status measures. The aims of this systematic literature review were to identify the most frequently addressed aspects of functioning in assessments of shoulder pain and provide an overview of the content of frequently used measures.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 1%
Spain 2 1%
Nigeria 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
United States 1 <1%
Unknown 137 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 21%
Student > Bachelor 25 17%
Student > Ph. D. Student 18 12%
Researcher 10 7%
Professor > Associate Professor 9 6%
Other 33 23%
Unknown 20 14%
Readers by discipline Count As %
Medicine and Dentistry 56 38%
Nursing and Health Professions 30 21%
Social Sciences 8 5%
Psychology 6 4%
Agricultural and Biological Sciences 5 3%
Other 13 9%
Unknown 28 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 29 January 2019.
All research outputs
#593,543
of 15,923,287 outputs
Outputs from BMC Musculoskeletal Disorders
#96
of 3,084 outputs
Outputs of similar age
#5,376
of 152,286 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#1
of 4 outputs
Altmetric has tracked 15,923,287 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,084 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 96% 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 152,286 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 96% 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 all of them