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Subgroups of musculoskeletal pain patients and their psychobiological patterns – The LOGIN study protocol

Overview of attention for article published in BMC Musculoskeletal Disorders, August 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

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77 Mendeley
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Title
Subgroups of musculoskeletal pain patients and their psychobiological patterns – The LOGIN study protocol
Published in
BMC Musculoskeletal Disorders, August 2012
DOI 10.1186/1471-2474-13-136
Pubmed ID
Authors

Andreas Gerhardt, Mechthild Hartmann, Jonas Tesarz, Susanne Janke, Sabine Leisner, Günter Seidler, Wolfgang Eich

Abstract

Pain conditions of the musculoskeletal system are very common and have tremendous socioeconomic impact. Despite its high prevalence, musculoskeletal pain remains poorly understood and predominantly non-specifically and insufficiently treated.The group of chronic musculoskeletal pain patients is supposed to be heterogeneous, due to a multitude of mechanisms involved in chronic pain. Psychological variables, psychophysiological processes, and neuroendocrine alterations are expected to be involved. Thus far, studies on musculoskeletal pain have predominantly focused on the general aspects of pain processing, thus neglecting the heterogeneity of patients with musculoskeletal pain. Consequently, there is a need for studies that comprise a multitude of mechanisms that are potentially involved in the chronicity and spread of pain. This need might foster research and facilitate a better pathophysiological understanding of the condition, thereby promoting the development of specific mechanism-based treatments for chronic pain. Therefore, the objectives of this study are as follows: 1) identify and describe subgroups of patients with musculoskeletal pain with regard to clinical manifestations (including mental co-morbidity) and 2) investigate whether distinct sensory profiles or 3) distinct plasma levels of pain-related parameters due to different underlying mechanisms can be distinguished in various subgroups of pain patients.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Student > Master 13 17%
Researcher 10 13%
Student > Bachelor 10 13%
Student > Doctoral Student 6 8%
Other 15 19%
Unknown 6 8%
Readers by discipline Count As %
Medicine and Dentistry 30 39%
Psychology 15 19%
Nursing and Health Professions 5 6%
Social Sciences 5 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 9 12%
Unknown 11 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 September 2012.
All research outputs
#3,292,174
of 12,373,620 outputs
Outputs from BMC Musculoskeletal Disorders
#743
of 2,454 outputs
Outputs of similar age
#31,094
of 121,829 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#12
of 31 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 69% 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 121,829 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 74% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.