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Rehabilitation management of low back pain – it’s time to pull it all together!

Overview of attention for article published in Journal of Pain Research, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 1,996)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
260 X users
facebook
26 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
398 Mendeley
Title
Rehabilitation management of low back pain – it’s time to pull it all together!
Published in
Journal of Pain Research, October 2017
DOI 10.2147/jpr.s146485
Pubmed ID
Authors

Yannick Tousignant-Laflamme, Marc Olivier Martel, Anand B Joshi, Chad E Cook

Abstract

In the past, rehabilitation research initiatives for low back pain (LBP) have targeted outcome enhancement through personalized treatment approaches, namely through classification systems (CS). Although the use of CS has enhanced outcomes, common management practices have not changed, the prevalence of LBP is still high, and only selected patients meet the CS profile, namely those with a nociceptive context. Similarly, although practice guidelines propose some level of organization and occasionally a timeline of care provision, each mainly provides best practice for isolated treatment approaches. Moreover, there is no theoretical framework that has been proposed that guides the rehabilitation management process of mechanical LBP. In this commentary, we propose a model constituted of five domains (nociceptive drivers, nervous system dysfunction drivers, comorbidities drivers, cognitive-emotional drivers, and contextual drivers) grounded as mechanisms driving pain and/or disability in LBP. Each domain is linked to the International Classification of Functioning, Disability and Health, where once a patient is deemed suitable for rehabilitation, the clinician assesses elements of each domain in order to identify where the relative treatment efforts should be focused. This theoretical model is designed to provide a more comprehensive management overview, by appreciating the relative contribution of each domain driving pain and disability. Considering that the multiple domains driving pain and disability, and their interaction, requires a model that is comprehensive enough to identify and address each related issue, we consider that the proposed model has several positive implications for rehabilitation of this painful and highly prevalent musculoskeletal disorder.

X Demographics

X Demographics

The data shown below were collected from the profiles of 260 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 398 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 398 100%

Demographic breakdown

Readers by professional status Count As %
Other 66 17%
Student > Master 54 14%
Student > Bachelor 38 10%
Student > Doctoral Student 28 7%
Student > Ph. D. Student 24 6%
Other 85 21%
Unknown 103 26%
Readers by discipline Count As %
Nursing and Health Professions 108 27%
Medicine and Dentistry 93 23%
Sports and Recreations 28 7%
Psychology 12 3%
Neuroscience 11 3%
Other 38 10%
Unknown 108 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 186. 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 19 November 2022.
All research outputs
#215,986
of 25,543,275 outputs
Outputs from Journal of Pain Research
#30
of 1,996 outputs
Outputs of similar age
#4,515
of 331,684 outputs
Outputs of similar age from Journal of Pain Research
#4
of 53 outputs
Altmetric has tracked 25,543,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done particularly well, scoring higher than 98% 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 331,684 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 98% of its contemporaries.
We're also able to compare this research output to 53 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 94% of its contemporaries.