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Reliability of the Multidimensional Pain Inventory and stability of the MPI classification system in chronic back pain

Overview of attention for article published in BMC Musculoskeletal Disorders, August 2012
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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

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5 tweeters

Citations

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13 Dimensions

Readers on

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58 Mendeley
Title
Reliability of the Multidimensional Pain Inventory and stability of the MPI classification system in chronic back pain
Published in
BMC Musculoskeletal Disorders, August 2012
DOI 10.1186/1471-2474-13-155
Pubmed ID
Authors

Martin L Verra, Felix Angst, J Bart Staal, Roberto Brioschi, Susanne Lehmann, André Aeschlimann, Rob A de Bie

Abstract

This cross validation study examined the reliability of the Multidimensional Pain Inventory (MPI) and the stability of the Multidimensional Pain Inventory Classification System of the empirically derived subgroup classification obtained by cluster analysis in chronic musculoskeletal pain. Reliability of the German Multidimensional Pain Inventory was only examined once in the past in a small sample. Previous international studies mainly involving fibromyalgia patients showed that retest resulted in 33-38% of patients being assigned to a different Multidimensional Pain Inventory subgroup classification.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
United Kingdom 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 26%
Student > Ph. D. Student 8 14%
Researcher 8 14%
Unspecified 7 12%
Student > Bachelor 5 9%
Other 15 26%
Readers by discipline Count As %
Medicine and Dentistry 17 29%
Nursing and Health Professions 12 21%
Unspecified 10 17%
Psychology 9 16%
Social Sciences 2 3%
Other 8 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 June 2014.
All research outputs
#5,713,551
of 11,185,066 outputs
Outputs from BMC Musculoskeletal Disorders
#924
of 2,316 outputs
Outputs of similar age
#48,606
of 111,807 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#33
of 69 outputs
Altmetric has tracked 11,185,066 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,316 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 58% 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 111,807 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 69 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 50% of its contemporaries.