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An overview of the statistical methods reported by studies using the Canadian community health survey

Overview of attention for article published in BMC Medical Research Methodology, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
32 Mendeley
Title
An overview of the statistical methods reported by studies using the Canadian community health survey
Published in
BMC Medical Research Methodology, January 2014
DOI 10.1186/1471-2288-14-15
Pubmed ID
Authors

Dean W Yergens, Daniel J Dutton, Scott B Patten

Abstract

The Canadian Community Health Survey (CCHS) is a cross-sectional survey that has collected information on health determinants, health status and the utilization of the health system in Canada since 2001. Several hundred articles have been written utilizing the CCHS dataset. Previous analyses of statistical methods utilized in the literature have focused on a particular journal or set of journals to understand the statistical literacy required for understanding the published research. In this study, we describe the statistical methods referenced in the published literature utilizing the CCHS dataset(s).

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
United Kingdom 1 3%
Canada 1 3%
Belgium 1 3%
United States 1 3%
Unknown 27 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Master 7 22%
Researcher 4 13%
Lecturer > Senior Lecturer 3 9%
Student > Doctoral Student 2 6%
Other 8 25%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 13 41%
Social Sciences 6 19%
Nursing and Health Professions 4 13%
Computer Science 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 2 6%
Unknown 2 6%

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 01 March 2014.
All research outputs
#6,517,650
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#599
of 1,095 outputs
Outputs of similar age
#85,623
of 227,989 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 8 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 44th percentile – i.e., 44% 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 227,989 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 61% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.