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Component models for three-way data: An alternating least squares algorithm with optimal scaling features

Overview of attention for article published in Psychometrika, March 1980
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
19 Mendeley
Title
Component models for three-way data: An alternating least squares algorithm with optimal scaling features
Published in
Psychometrika, March 1980
DOI 10.1007/bf02293598
Authors

Richard Sands, Forrest W. Young

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Doctoral Student 3 16%
Student > Master 2 11%
Professor > Associate Professor 2 11%
Researcher 2 11%
Other 3 16%
Readers by discipline Count As %
Psychology 7 37%
Chemistry 3 16%
Computer Science 3 16%
Engineering 2 11%
Mathematics 1 5%
Other 2 11%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 December 2018.
All research outputs
#7,573,552
of 23,096,849 outputs
Outputs from Psychometrika
#145
of 508 outputs
Outputs of similar age
#1,686
of 6,459 outputs
Outputs of similar age from Psychometrika
#1
of 1 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 508 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 6,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
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