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Assessment of fit of item response theory models used in large-scale educational survey assessments

Overview of attention for article published in Large-scale Assessments in Education, July 2016
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
27 Mendeley
Title
Assessment of fit of item response theory models used in large-scale educational survey assessments
Published in
Large-scale Assessments in Education, July 2016
DOI 10.1186/s40536-016-0025-3
Authors

Peter W. van Rijn, Sandip Sinharay, Shelby J. Haberman, Matthew S. Johnson

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 37%
Lecturer 4 15%
Researcher 3 11%
Student > Doctoral Student 1 4%
Professor 1 4%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Social Sciences 6 22%
Psychology 5 19%
Chemistry 3 11%
Mathematics 2 7%
Engineering 2 7%
Other 4 15%
Unknown 5 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 August 2016.
All research outputs
#4,155,969
of 8,266,357 outputs
Outputs from Large-scale Assessments in Education
#35
of 42 outputs
Outputs of similar age
#130,272
of 260,939 outputs
Outputs of similar age from Large-scale Assessments in Education
#4
of 4 outputs
Altmetric has tracked 8,266,357 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 42 research outputs from this source. They receive a mean Attention Score of 4.8. This one scored the same or higher as 7 of them.
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 260,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.