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Bias in odds ratios by logistic regression modelling and sample size

Overview of attention for article published in BMC Medical Research Methodology, July 2009
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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 (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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mendeley
326 Mendeley
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3 CiteULike
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Title
Bias in odds ratios by logistic regression modelling and sample size
Published in
BMC Medical Research Methodology, July 2009
DOI 10.1186/1471-2288-9-56
Pubmed ID
Authors

Szilard Nemes, Junmei Miao Jonasson, Anna Genell, Gunnar Steineck

Abstract

In epidemiological studies researchers use logistic regression as an analytical tool to study the association of a binary outcome to a set of possible exposures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 326 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Australia 3 <1%
Canada 3 <1%
Uruguay 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Norway 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Other 4 1%
Unknown 304 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 18%
Researcher 53 16%
Student > Master 53 16%
Student > Bachelor 29 9%
Professor > Associate Professor 22 7%
Other 62 19%
Unknown 48 15%
Readers by discipline Count As %
Medicine and Dentistry 76 23%
Social Sciences 30 9%
Agricultural and Biological Sciences 27 8%
Psychology 26 8%
Mathematics 18 6%
Other 85 26%
Unknown 64 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 November 2022.
All research outputs
#4,596,717
of 23,122,481 outputs
Outputs from BMC Medical Research Methodology
#737
of 2,036 outputs
Outputs of similar age
#19,752
of 111,405 outputs
Outputs of similar age from BMC Medical Research Methodology
#5
of 11 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 63% 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 111,405 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 82% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.