↓ Skip to main content

Research on injury compensation and health outcomes: ignoring the problem of reverse causality led to a biased conclusion

Overview of attention for article published in Journal of Clinical Epidemiology, November 2012
Altmetric Badge

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Research on injury compensation and health outcomes: ignoring the problem of reverse causality led to a biased conclusion
Published in
Journal of Clinical Epidemiology, November 2012
DOI 10.1016/j.jclinepi.2012.05.012
Pubmed ID
Authors

Natalie M. Spearing, Luke B. Connelly, Hong S. Nghiem, Louis Pobereskin

Abstract

This study highlights the serious consequences of ignoring reverse causality bias in studies on compensation-related factors and health outcomes and demonstrates a technique for resolving this problem of observational data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Canada 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 37%
Student > Master 4 15%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Professor 2 7%
Other 5 19%
Unknown 2 7%
Readers by discipline Count As %
Nursing and Health Professions 7 26%
Medicine and Dentistry 6 22%
Engineering 4 15%
Economics, Econometrics and Finance 3 11%
Psychology 2 7%
Other 2 7%
Unknown 3 11%
Attention Score in Context

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 25 September 2012.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Journal of Clinical Epidemiology
#4,160
of 4,783 outputs
Outputs of similar age
#133,634
of 202,252 outputs
Outputs of similar age from Journal of Clinical Epidemiology
#14
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 8th percentile – i.e., 8% 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 202,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.