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Chronic low back pain patient groups in primary care – A cross sectional cluster analysis

Overview of attention for article published in BMC Musculoskeletal Disorders, October 2013
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  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Citations

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Title
Chronic low back pain patient groups in primary care – A cross sectional cluster analysis
Published in
BMC Musculoskeletal Disorders, October 2013
DOI 10.1186/1471-2474-14-294
Pubmed ID
Authors

Annika Viniol, Nikita Jegan, Oliver Hirsch, Corinna Leonhardt, Markus Brugger, Konstantin Strauch, Jürgen Barth, Erika Baum, Annette Becker

Abstract

Due to the heterogeneous nature of chronic low back pain (CLBP), it is necessary to identify patient groups and evaluate treatments within these groups. We aimed to identify groups of patients with CLBP in the primary care setting.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 80 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Bachelor 11 14%
Student > Master 10 12%
Researcher 7 9%
Student > Postgraduate 6 7%
Other 15 19%
Unknown 18 22%
Readers by discipline Count As %
Medicine and Dentistry 19 23%
Nursing and Health Professions 17 21%
Psychology 12 15%
Social Sciences 4 5%
Mathematics 2 2%
Other 8 10%
Unknown 19 23%
Attention Score in Context

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 23 October 2013.
All research outputs
#7,690,174
of 23,394,907 outputs
Outputs from BMC Musculoskeletal Disorders
#1,561
of 4,130 outputs
Outputs of similar age
#71,241
of 212,376 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#22
of 75 outputs
Altmetric has tracked 23,394,907 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,130 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 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 212,376 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 50% of its contemporaries.
We're also able to compare this research output to 75 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 72% of its contemporaries.