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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

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
103 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 19 18%
Student > Bachelor 8 8%
Student > Master 7 7%
Student > Doctoral Student 6 6%
Other 12 12%
Unknown 27 26%
Readers by discipline Count As %
Psychology 25 24%
Social Sciences 9 9%
Medicine and Dentistry 7 7%
Nursing and Health Professions 5 5%
Engineering 3 3%
Other 18 17%
Unknown 36 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#6,303,662
of 23,289,753 outputs
Outputs from BMC Medical Research Methodology
#952
of 2,056 outputs
Outputs of similar age
#115,650
of 351,489 outputs
Outputs of similar age from BMC Medical Research Methodology
#32
of 56 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 53% 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 351,489 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 66% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.