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Applications of Generalizability Theory and Their Relations to Classical Test Theory and Structural Equation Modeling

Overview of attention for article published in Psychological Methods, March 2018
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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 (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Readers on

mendeley
128 Mendeley
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Article details
Title
Applications of Generalizability Theory and Their Relations to Classical Test Theory and Structural Equation Modeling
Published in
Psychological Methods, March 2018
DOI 10.1037/met0000107
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Austria 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Student > Doctoral Student 13 10%
Student > Master 10 8%
Researcher 9 7%
Professor > Associate Professor 8 6%
Other 25 20%
Unknown 28 22%
Readers by discipline
Readers by discipline Count As %
Psychology 48 38%
Social Sciences 15 12%
Medicine and Dentistry 7 5%
Business, Management and Accounting 6 5%
Engineering 4 3%
Other 16 13%
Unknown 32 25%
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 December 2020.
All research outputs
#6,290,919
of 33,834,589 outputs
Outputs from Psychological Methods
#261
of 915 outputs
Outputs of similar age
#88,166
of 371,880 outputs
Outputs of similar age from Psychological Methods
#2
of 6 outputs
Altmetric has tracked 33,834,589 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 915 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 70% 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 371,880 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 75% 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 4 of them.