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A nonparametric approach for assessing latent trait unidimensionality

Overview of attention for article published in Psychometrika, December 1987
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

policy
1 policy source
patent
1 patent

Citations

dimensions_citation
382 Dimensions

Readers on

mendeley
64 Mendeley
Title
A nonparametric approach for assessing latent trait unidimensionality
Published in
Psychometrika, December 1987
DOI 10.1007/bf02294821
Authors

William Stout

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 %
Switzerland 1 2%
Brazil 1 2%
United Kingdom 1 2%
Spain 1 2%
United States 1 2%
Unknown 59 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 10 16%
Professor > Associate Professor 8 13%
Student > Master 7 11%
Professor 6 9%
Other 10 16%
Unknown 9 14%
Readers by discipline Count As %
Psychology 22 34%
Social Sciences 14 22%
Business, Management and Accounting 3 5%
Medicine and Dentistry 2 3%
Computer Science 2 3%
Other 7 11%
Unknown 14 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 05 January 2021.
All research outputs
#4,738,192
of 22,955,959 outputs
Outputs from Psychometrika
#74
of 504 outputs
Outputs of similar age
#3,531
of 49,916 outputs
Outputs of similar age from Psychometrika
#1
of 1 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 504 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 49,916 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 85% 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