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Attention Score in Context
Title |
An overview of the statistical methods reported by studies using the Canadian community health survey
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Published in |
BMC Medical Research Methodology, January 2014
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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). |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Scientists | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Belgium | 1 | 2% |
Canada | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 57 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 21% |
Student > Ph. D. Student | 9 | 15% |
Researcher | 6 | 10% |
Librarian | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Other | 12 | 20% |
Unknown | 14 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 23% |
Social Sciences | 8 | 13% |
Nursing and Health Professions | 7 | 11% |
Computer Science | 5 | 8% |
Mathematics | 2 | 3% |
Other | 5 | 8% |
Unknown | 20 | 33% |
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
#13,054,270
of 22,743,667 outputs
Outputs from BMC Medical Research Methodology
#1,216
of 2,005 outputs
Outputs of similar age
#157,809
of 306,482 outputs
Outputs of similar age from BMC Medical Research Methodology
#16
of 28 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 38th percentile – i.e., 38% 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 306,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.