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Evaluating methods for handling missing ordinal data in structural equation modeling

Overview of attention for article published in Behavior Research Methods, January 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 (77th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
36 Mendeley
Title
Evaluating methods for handling missing ordinal data in structural equation modeling
Published in
Behavior Research Methods, January 2019
DOI 10.3758/s13428-018-1187-4
Pubmed ID
Authors

Fan Jia, Wei Wu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Student > Doctoral Student 5 14%
Researcher 4 11%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 2 6%
Unknown 10 28%
Readers by discipline Count As %
Psychology 8 22%
Social Sciences 3 8%
Engineering 3 8%
Medicine and Dentistry 2 6%
Mathematics 1 3%
Other 7 19%
Unknown 12 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 19 October 2019.
All research outputs
#4,721,995
of 25,385,509 outputs
Outputs from Behavior Research Methods
#613
of 2,526 outputs
Outputs of similar age
#100,868
of 446,487 outputs
Outputs of similar age from Behavior Research Methods
#24
of 41 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 gotten more attention than average, scoring higher than 73% 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 446,487 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 77% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.