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23 Mendeley
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Article details
Title
Estimation of multidimensional item response theory models with correlated latent variables using variational autoencoders
Published in
Machine Learning, June 2021
DOI 10.1007/s10994-021-06005-7
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 3 13%
Student > Postgraduate 3 13%
Student > Doctoral Student 2 9%
Unspecified 1 4%
Other 1 4%
Other 2 9%
Unknown 11 48%
Readers by discipline
Readers by discipline Count As %
Computer Science 4 17%
Psychology 3 13%
Social Sciences 2 9%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 June 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Machine Learning
#905
of 989 outputs
Outputs of similar age
#323,377
of 448,096 outputs
Outputs of similar age from Machine Learning
#51
of 64 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 989 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 448,096 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.