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A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators

Overview of attention for article published in Psychometrika, March 1984
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

policy
1 policy source
q&a
1 Q&A thread

Citations

dimensions_citation
1534 Dimensions

Readers on

mendeley
535 Mendeley
Title
A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators
Published in
Psychometrika, March 1984
DOI 10.1007/bf02294210
Authors

Bengt Muthén

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 1%
United States 7 1%
Germany 4 <1%
Switzerland 2 <1%
Portugal 2 <1%
Brazil 2 <1%
Spain 2 <1%
Canada 2 <1%
Australia 1 <1%
Other 10 2%
Unknown 496 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 147 27%
Researcher 67 13%
Student > Master 62 12%
Student > Doctoral Student 41 8%
Professor 38 7%
Other 100 19%
Unknown 80 15%
Readers by discipline Count As %
Psychology 117 22%
Social Sciences 100 19%
Business, Management and Accounting 37 7%
Economics, Econometrics and Finance 30 6%
Medicine and Dentistry 27 5%
Other 115 21%
Unknown 109 20%
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 16 January 2012.
All research outputs
#6,587,541
of 26,017,215 outputs
Outputs from Psychometrika
#132
of 545 outputs
Outputs of similar age
#2,118
of 8,839 outputs
Outputs of similar age from Psychometrika
#1
of 2 outputs
Altmetric has tracked 26,017,215 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 545 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 75% 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 8,839 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 2 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