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Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis

Overview of attention for article published in Advances in Data Analysis and Classification, June 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
64 Mendeley
Title
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis
Published in
Advances in Data Analysis and Classification, June 2015
DOI 10.1007/s11634-015-0211-0
Authors

D. L. Oberski

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 10 16%
Student > Doctoral Student 10 16%
Professor > Associate Professor 6 9%
Student > Postgraduate 5 8%
Other 10 16%
Unknown 7 11%
Readers by discipline Count As %
Social Sciences 14 22%
Psychology 13 20%
Mathematics 7 11%
Medicine and Dentistry 5 8%
Engineering 4 6%
Other 11 17%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 February 2021.
All research outputs
#5,877,479
of 23,577,761 outputs
Outputs from Advances in Data Analysis and Classification
#13
of 93 outputs
Outputs of similar age
#66,075
of 265,352 outputs
Outputs of similar age from Advances in Data Analysis and Classification
#1
of 1 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 93 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 86% 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 265,352 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 74% 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