↓ Skip to main content

Evaluating CEFR rater performance through the analysis of spoken learner corpora

Overview of attention for article published in Language Testing in Asia, September 2018
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
58 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

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Student > Master 6 10%
Lecturer 5 9%
Student > Bachelor 3 5%
Researcher 3 5%
Other 11 19%
Unknown 19 33%
Readers by discipline Count As %
Linguistics 20 34%
Social Sciences 11 19%
Arts and Humanities 2 3%
Unspecified 2 3%
Psychology 2 3%
Other 2 3%
Unknown 19 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 19 September 2018.
All research outputs
#17,990,045
of 23,103,436 outputs
Outputs from Language Testing in Asia
#123
of 196 outputs
Outputs of similar age
#244,726
of 341,518 outputs
Outputs of similar age from Language Testing in Asia
#3
of 3 outputs
Altmetric has tracked 23,103,436 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 196 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 28th percentile – i.e., 28% 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 341,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.