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A structural equation modeling approach for examining position effects in large-scale assessments

Overview of attention for article published in Large-scale Assessments in Education, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
29 Mendeley
Title
A structural equation modeling approach for examining position effects in large-scale assessments
Published in
Large-scale Assessments in Education, February 2017
DOI 10.1186/s40536-017-0042-x
Authors

Okan Bulut, Qi Quo, Mark J. Gierl

Twitter Demographics

The data shown below were collected from the profiles of 4 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Researcher 4 14%
Student > Master 4 14%
Lecturer 2 7%
Student > Doctoral Student 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Psychology 7 24%
Social Sciences 5 17%
Engineering 3 10%
Computer Science 2 7%
Economics, Econometrics and Finance 2 7%
Other 3 10%
Unknown 7 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 September 2017.
All research outputs
#2,927,450
of 11,843,218 outputs
Outputs from Large-scale Assessments in Education
#35
of 58 outputs
Outputs of similar age
#81,567
of 259,495 outputs
Outputs of similar age from Large-scale Assessments in Education
#9
of 11 outputs
Altmetric has tracked 11,843,218 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 58 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 39th percentile – i.e., 39% 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 259,495 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
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 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.