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Covariance pattern mixture models: Eliminating random effects to improve convergence and performance

Overview of attention for article published in Behavior Research Methods, September 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 (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
33 Mendeley
Title
Covariance pattern mixture models: Eliminating random effects to improve convergence and performance
Published in
Behavior Research Methods, September 2019
DOI 10.3758/s13428-019-01292-4
Pubmed ID
Authors

Daniel McNeish, Jeffrey Harring

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Other 2 6%
Researcher 2 6%
Other 5 15%
Unknown 8 24%
Readers by discipline Count As %
Psychology 11 33%
Mathematics 2 6%
Unspecified 2 6%
Neuroscience 2 6%
Linguistics 1 3%
Other 4 12%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 May 2021.
All research outputs
#4,569,541
of 25,385,509 outputs
Outputs from Behavior Research Methods
#583
of 2,526 outputs
Outputs of similar age
#83,139
of 351,348 outputs
Outputs of similar age from Behavior Research Methods
#7
of 19 outputs
Altmetric has tracked 25,385,509 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 2,526 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 351,348 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 76% of its contemporaries.
We're also able to compare this research output to 19 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 63% of its contemporaries.