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Application of Latent Trait Models to Identifying Substantively Interesting Raters

Overview of attention for article published in Educational Measurement: Issues & Practice, September 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

policy
1 policy source

Readers on

mendeley
56 Mendeley
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Article details
Title
Application of Latent Trait Models to Identifying Substantively Interesting Raters
Published in
Educational Measurement: Issues & Practice, September 2012
DOI 10.1111/j.1745-3992.2012.00241.x
Authors

Edward W. Wolfe, Aaron McVay

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 4%
Unknown 54 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Student > Doctoral Student 6 11%
Student > Master 6 11%
Researcher 6 11%
Lecturer 5 9%
Other 8 14%
Unknown 13 23%
Readers by discipline
Readers by discipline Count As %
Social Sciences 18 32%
Psychology 9 16%
Linguistics 7 13%
Arts and Humanities 3 5%
Mathematics 1 2%
Other 4 7%
Unknown 14 25%
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 14 February 2014.
All research outputs
#12,344,996
of 34,363,559 outputs
Outputs from Educational Measurement: Issues & Practice
#179
of 390 outputs
Outputs of similar age
#87,873
of 226,426 outputs
Outputs of similar age from Educational Measurement: Issues & Practice
#2
of 5 outputs
Altmetric has tracked 34,363,559 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 390 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 31st percentile – i.e., 31% 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 226,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.