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Evaluating CEFR rater performance through the analysis of spoken learner corpora

Overview of attention for article published in Language Testing in Asia, September 2018
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
27 Mendeley
Title
Evaluating CEFR rater performance through the analysis of spoken learner corpora
Published in
Language Testing in Asia, September 2018
DOI 10.1186/s40468-018-0069-0
Authors

Lan-fen Huang, Simon Kubelec, Nicole Keng, Lung-hsun Hsu

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 6 22%
Student > Master 5 19%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Lecturer 2 7%
Other 6 22%
Unknown 4 15%
Readers by discipline Count As %
Linguistics 14 52%
Social Sciences 7 26%
Computer Science 1 4%
Medicine and Dentistry 1 4%
Unknown 4 15%

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 19 September 2018.
All research outputs
#10,325,638
of 13,528,132 outputs
Outputs from Language Testing in Asia
#58
of 93 outputs
Outputs of similar age
#185,286
of 265,872 outputs
Outputs of similar age from Language Testing in Asia
#1
of 1 outputs
Altmetric has tracked 13,528,132 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 93 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 24th percentile – i.e., 24% 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 265,872 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them