| 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. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| United States | 1 | 20% |
| Netherlands | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 88 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 19% |
| Researcher | 14 | 16% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 9 | 10% |
| Student > Postgraduate | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 17 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 22% |
| Psychology | 16 | 18% |
| Nursing and Health Professions | 16 | 18% |
| Social Sciences | 5 | 6% |
| Computer Science | 2 | 2% |
| Other | 11 | 12% |
| Unknown | 20 | 22% |
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
#13,364,855
of 23,881,329 outputs
Outputs from BMC Musculoskeletal Disorders
#1,765
of 4,185 outputs
Outputs of similar age
#91,279
of 170,935 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#27
of 61 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 57% 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 170,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 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 55% of its contemporaries.