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Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables

Overview of attention for article published in Psychometrika, November 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
patent
1 patent

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
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Article details
Title
Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables
Published in
Psychometrika, November 2008
DOI 10.1007/s11336-008-9089-5
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 105 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 2 2%
Netherlands 1 <1%
Germany 1 <1%
Unknown 101 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Student > Master 20 19%
Researcher 10 10%
Professor > Associate Professor 9 9%
Student > Doctoral Student 7 7%
Other 17 16%
Unknown 18 17%
Readers by discipline
Readers by discipline Count As %
Psychology 24 23%
Social Sciences 24 23%
Mathematics 11 10%
Computer Science 7 7%
Business, Management and Accounting 3 3%
Other 13 12%
Unknown 23 22%
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 21 January 2025.
All research outputs
#6,275,875
of 28,667,723 outputs
Outputs from Psychometrika
#102
of 613 outputs
Outputs of similar age
#24,099
of 116,948 outputs
Outputs of similar age from Psychometrika
#3
of 5 outputs
Altmetric has tracked 28,667,723 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 613 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 77% 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 116,948 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 69% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.