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Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation Across Levels

Overview of attention for article published in Multivariate Behavioral Research, May 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Readers on

mendeley
3 Mendeley
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Title
Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation Across Levels
Published in
Multivariate Behavioral Research, May 2024
DOI 10.1080/00273171.2024.2315549
Pubmed ID
Authors

Haley E. Yaremych, Kristopher J. Preacher

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Psychology 1 33%
Neuroscience 1 33%
Unknown 1 33%
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 12 May 2024.
All research outputs
#7,308,979
of 25,913,612 outputs
Outputs from Multivariate Behavioral Research
#156
of 480 outputs
Outputs of similar age
#46,054
of 172,500 outputs
Outputs of similar age from Multivariate Behavioral Research
#3
of 6 outputs
Altmetric has tracked 25,913,612 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 480 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 67% 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 172,500 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.