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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

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
128 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 2%
Spain 2 2%
Nigeria 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
United States 1 <1%
Unknown 119 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 21%
Student > Bachelor 26 20%
Student > Ph. D. Student 13 10%
Other 9 7%
Professor > Associate Professor 9 7%
Other 30 23%
Unknown 14 11%
Readers by discipline Count As %
Medicine and Dentistry 48 38%
Nursing and Health Professions 27 21%
Social Sciences 8 6%
Agricultural and Biological Sciences 5 4%
Psychology 4 3%
Other 14 11%
Unknown 22 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 January 2017.
All research outputs
#6,707,419
of 12,373,620 outputs
Outputs from BMC Musculoskeletal Disorders
#1,127
of 2,454 outputs
Outputs of similar age
#60,842
of 142,105 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#8
of 12 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 52% 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 142,105 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 55% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.