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Nondecomposable Item Response Theory models: Fundamental measurement in psychometrics

Overview of attention for article published in Journal of Mathematical Psychology, June 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 449)
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

twitter
22 X users

Readers on

mendeley
2 Mendeley
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Title
Nondecomposable Item Response Theory models: Fundamental measurement in psychometrics
Published in
Journal of Mathematical Psychology, June 2023
DOI 10.1016/j.jmp.2023.102772
Authors

Vithor Rosa Franco, Jacob Arie Laros, Marie Wiberg

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Psychology 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 2023.
All research outputs
#2,291,406
of 25,394,764 outputs
Outputs from Journal of Mathematical Psychology
#17
of 449 outputs
Outputs of similar age
#43,447
of 388,748 outputs
Outputs of similar age from Journal of Mathematical Psychology
#1
of 1 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 449 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 388,748 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 88% 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