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Comparing DIF methods for data with dual dependency

Overview of attention for article published in Large-scale Assessments in Education, September 2016
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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15 Mendeley
Title
Comparing DIF methods for data with dual dependency
Published in
Large-scale Assessments in Education, September 2016
DOI 10.1186/s40536-016-0033-3
Authors

Ying Jin, Minsoo Kang

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 2 13%
Lecturer 2 13%
Student > Master 2 13%
Unknown 4 27%
Readers by discipline Count As %
Social Sciences 5 33%
Psychology 3 20%
Mathematics 1 7%
Linguistics 1 7%
Unknown 5 33%
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 30 September 2016.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from Large-scale Assessments in Education
#134
of 139 outputs
Outputs of similar age
#279,777
of 322,600 outputs
Outputs of similar age from Large-scale Assessments in Education
#8
of 8 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 139 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 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 322,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.