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The relationship between statistical power and predictor distribution in multilevel logistic regression: a simulation-based approach

Overview of attention for article published in BMC Medical Research Methodology, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
65 Mendeley
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Title
The relationship between statistical power and predictor distribution in multilevel logistic regression: a simulation-based approach
Published in
BMC Medical Research Methodology, May 2019
DOI 10.1186/s12874-019-0742-8
Pubmed ID
Authors

Oscar L. Olvera Astivia, Anne Gadermann, Martin Guhn

Twitter Demographics

The data shown below were collected from the profiles of 10 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Researcher 14 22%
Student > Bachelor 8 12%
Student > Master 4 6%
Student > Doctoral Student 3 5%
Other 8 12%
Unknown 10 15%
Readers by discipline Count As %
Psychology 21 32%
Social Sciences 8 12%
Medicine and Dentistry 3 5%
Engineering 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 12 18%
Unknown 16 25%

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 07 October 2019.
All research outputs
#3,005,174
of 15,984,988 outputs
Outputs from BMC Medical Research Methodology
#513
of 1,505 outputs
Outputs of similar age
#72,834
of 270,866 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 15,984,988 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,505 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 65% 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 270,866 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 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them