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Using country-specific Q-matrices for cognitive diagnostic assessments with international large-scale data

Overview of attention for article published in Large-scale Assessments in Education, November 2022
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1 X user
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1 Facebook page

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6 Mendeley
Title
Using country-specific Q-matrices for cognitive diagnostic assessments with international large-scale data
Published in
Large-scale Assessments in Education, November 2022
DOI 10.1186/s40536-022-00138-4
Authors

Jolien Delafontaine, Changsheng Chen, Jung Yeon Park, Wim Van den Noortgate

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 17%
Unspecified 1 17%
Professor > Associate Professor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Mathematics 2 33%
Unspecified 1 17%
Unknown 3 50%
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 24 November 2022.
All research outputs
#18,703,173
of 23,179,757 outputs
Outputs from Large-scale Assessments in Education
#132
of 143 outputs
Outputs of similar age
#301,783
of 438,809 outputs
Outputs of similar age from Large-scale Assessments in Education
#9
of 11 outputs
Altmetric has tracked 23,179,757 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 143 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 3rd percentile – i.e., 3% 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 438,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.