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Mendeley readers
Attention Score in Context
| Title |
Improving statistical analysis of matched case–control studies
|
|---|---|
| Published in |
Research in nursing & health (Online), February 2013
|
| DOI | 10.1002/nur.21536 |
| Pubmed ID | |
| Authors |
Aaron Conway, John X. Rolley, Paul Fulbrook, Karen Page, David R. Thompson |
| Abstract |
Matched case-control research designs can be useful because matching can increase power due to reduced variability between subjects. However, inappropriate statistical analysis of matched data could result in a change in the strength of association between the dependent and independent variables or a change in the significance of the findings. We sought to ascertain whether matched case-control studies published in the nursing literature utilized appropriate statistical analyses. Of 41 articles identified that met the inclusion criteria, 31 (76%) used an inappropriate statistical test for comparing data derived from case subjects and their matched controls. In response to this finding, we developed an algorithm to support decision-making regarding statistical tests for matched case-control studies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Australia | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 32 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 20% |
| Researcher | 7 | 20% |
| Student > Master | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 26% |
| Psychology | 5 | 14% |
| Computer Science | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 8 | 23% |
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 14 February 2013.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Research in nursing & health (Online)
#599
of 755 outputs
Outputs of similar age
#233,892
of 296,727 outputs
Outputs of similar age from Research in nursing & health (Online)
#4
of 15 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 755 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 5th percentile – i.e., 5% 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 296,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.