| Title |
Using a psychosocial subgroup assignment to predict sickness absence in a working population with neck and back pain
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, April 2011
|
| DOI | 10.1186/1471-2474-12-81 |
| Pubmed ID | |
| Authors |
Cecilia Bergström, Jan Hagberg, Lennart Bodin, Irene Jensen, Gunnar Bergström |
| Abstract |
The overall objective was to evaluate the predictive validity of a subgroup classification based on the Swedish version of the MPI, the MPI-S, among gainfully employed workers with neck pain (NP) and/or low back pain (LBP) during a follow-up period of 18 and 36 months. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 14% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 7 | 11% |
| Other | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Other | 20 | 31% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 36% |
| Nursing and Health Professions | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Psychology | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 13 | 20% |
| Unknown | 12 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from BMC Musculoskeletal Disorders
#2,438
of 4,023 outputs
Outputs of similar age
#84,537
of 109,913 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#18
of 33 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,023 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 109,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.