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Corrigendum: Modified Logistic Regression Approaches to Eliminating the Impact of Response Styles on Differential Item Functioning Detection in Likert-Type Scale

Overview of attention for article published in Frontiers in Psychology, June 2018
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Title
Corrigendum: Modified Logistic Regression Approaches to Eliminating the Impact of Response Styles on Differential Item Functioning Detection in Likert-Type Scale
Published in
Frontiers in Psychology, June 2018
DOI 10.3389/fpsyg.2018.01122
Pubmed ID
Authors

Hui-Fang Chen, Kuan-Yu Jin, Wen-Chung Wang

Abstract

[This corrects the article on p. 1143 in vol. 8, PMID: 28736542.].

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X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Linguistics 1 50%
Unknown 1 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 06 July 2018.
All research outputs
#17,981,442
of 23,092,602 outputs
Outputs from Frontiers in Psychology
#20,886
of 30,473 outputs
Outputs of similar age
#237,930
of 329,072 outputs
Outputs of similar age from Frontiers in Psychology
#561
of 709 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,473 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 25th percentile – i.e., 25% 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 329,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 709 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.