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A simple method for estimating relative risk using logistic regression

Overview of attention for article published in BMC Medical Research Methodology, February 2012
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
12 X users
q&a
1 Q&A thread

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
228 Mendeley
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2 CiteULike
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Title
A simple method for estimating relative risk using logistic regression
Published in
BMC Medical Research Methodology, February 2012
DOI 10.1186/1471-2288-12-14
Pubmed ID
Authors

Fredi A Diaz-Quijano

Abstract

Odds ratios (OR) significantly overestimate associations between risk factors and common outcomes. The estimation of relative risks (RR) or prevalence ratios (PR) has represented a statistical challenge in multivariate analysis and, furthermore, some researchers do not have access to the available methods. Objective: To propose and evaluate a new method for estimating RR and PR by logistic regression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
United States 2 <1%
Chile 1 <1%
Ghana 1 <1%
India 1 <1%
Bangladesh 1 <1%
United Kingdom 1 <1%
Czechia 1 <1%
Unknown 218 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 19%
Researcher 41 18%
Student > Ph. D. Student 40 18%
Student > Doctoral Student 17 7%
Professor > Associate Professor 13 6%
Other 47 21%
Unknown 27 12%
Readers by discipline Count As %
Medicine and Dentistry 69 30%
Agricultural and Biological Sciences 20 9%
Social Sciences 16 7%
Nursing and Health Professions 14 6%
Mathematics 8 4%
Other 55 24%
Unknown 46 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 February 2021.
All research outputs
#3,373,015
of 24,586,986 outputs
Outputs from BMC Medical Research Methodology
#517
of 2,180 outputs
Outputs of similar age
#28,278
of 259,730 outputs
Outputs of similar age from BMC Medical Research Methodology
#4
of 30 outputs
Altmetric has tracked 24,586,986 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,180 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 76% 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 259,730 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 89% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.