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A Semi-automatic Error Retrieval Method for Uncovering Collocation Errors from a Large Learner Corpus

Overview of attention for article published in English Teaching & Learning, November 2019
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

mendeley
16 Mendeley
Title
A Semi-automatic Error Retrieval Method for Uncovering Collocation Errors from a Large Learner Corpus
Published in
English Teaching & Learning, November 2019
DOI 10.1007/s42321-019-00037-y
Authors

Christine Ting-Yu Yang, Howard Hao-Jan Chen, Chen-Yu Liu, Yu-Cheng Liu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 4 25%
Professor 1 6%
Other 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 4 25%
Readers by discipline Count As %
Arts and Humanities 4 25%
Linguistics 4 25%
Computer Science 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Other 0 0%
Unknown 4 25%
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 02 December 2019.
All research outputs
#20,592,137
of 23,177,498 outputs
Outputs from English Teaching & Learning
#83
of 111 outputs
Outputs of similar age
#305,937
of 360,310 outputs
Outputs of similar age from English Teaching & Learning
#4
of 9 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 111 research outputs from this source. They receive a mean Attention Score of 1.5. This one is in the 1st percentile – i.e., 1% 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 360,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.