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Bucking the trend: improved evaluation and annotation practices for ESL error detection systems

Overview of attention for article published in Language Resources and Evaluation, July 2013
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

mendeley
32 Mendeley
Title
Bucking the trend: improved evaluation and annotation practices for ESL error detection systems
Published in
Language Resources and Evaluation, July 2013
DOI 10.1007/s10579-013-9243-2
Authors

Joel Tetreault, Martin Chodorow, Nitin Madnani

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Cyprus 1 3%
Germany 1 3%
Belgium 1 3%
Unknown 28 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 25%
Researcher 5 16%
Student > Bachelor 4 13%
Professor > Associate Professor 3 9%
Student > Ph. D. Student 3 9%
Other 7 22%
Unknown 2 6%
Readers by discipline Count As %
Linguistics 9 28%
Computer Science 6 19%
Arts and Humanities 5 16%
Business, Management and Accounting 2 6%
Psychology 2 6%
Other 3 9%
Unknown 5 16%
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 25 November 2015.
All research outputs
#22,036,324
of 24,585,148 outputs
Outputs from Language Resources and Evaluation
#257
of 288 outputs
Outputs of similar age
#176,295
of 198,945 outputs
Outputs of similar age from Language Resources and Evaluation
#3
of 3 outputs
Altmetric has tracked 24,585,148 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 288 research outputs from this source. They receive a mean Attention Score of 3.9. 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 198,945 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 3 others from the same source and published within six weeks on either side of this one.