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The mechanical and inflammatory low back pain (MIL) index: development and validation

Overview of attention for article published in BMC Musculoskeletal Disorders, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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11 X users

Citations

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6 Dimensions

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Title
The mechanical and inflammatory low back pain (MIL) index: development and validation
Published in
BMC Musculoskeletal Disorders, January 2014
DOI 10.1186/1471-2474-15-12
Pubmed ID
Authors

Antonio Cuesta-Vargas, Andre Farasyn, Charles Philip Gabel, Juan V Luciano

Abstract

The purpose of this study was the development of a valid and reliable "Mechanical and Inflammatory Low Back Pain Index" (MIL) for assessment of non-specific low back pain (NSLBP). This 7-item tool assists practitioners in determining whether symptoms are predominantly mechanical or inflammatory.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Norway 1 1%
Australia 1 1%
Unknown 94 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 15%
Researcher 11 11%
Student > Ph. D. Student 10 10%
Other 9 9%
Lecturer 6 6%
Other 22 23%
Unknown 24 25%
Readers by discipline Count As %
Medicine and Dentistry 34 35%
Nursing and Health Professions 14 14%
Psychology 5 5%
Engineering 4 4%
Philosophy 2 2%
Other 11 11%
Unknown 27 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 28 June 2016.
All research outputs
#4,123,201
of 22,739,983 outputs
Outputs from BMC Musculoskeletal Disorders
#817
of 4,032 outputs
Outputs of similar age
#49,543
of 304,788 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#13
of 90 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,032 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 79% 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 304,788 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.