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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 & Evaluation, July 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

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

Joel Tetreault, Martin Chodorow, Nitin Madnani

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

Geographical breakdown

Country Count As %
Germany 1 4%
United States 1 4%
Cyprus 1 4%
Belgium 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 31%
Researcher 5 19%
Student > Bachelor 4 15%
Professor 2 8%
Student > Ph. D. Student 2 8%
Other 5 19%
Readers by discipline Count As %
Linguistics 9 35%
Computer Science 5 19%
Unspecified 3 12%
Arts and Humanities 3 12%
Business, Management and Accounting 2 8%
Other 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 25 November 2015.
All research outputs
#8,165,227
of 13,020,564 outputs
Outputs from Language Resources & Evaluation
#91
of 166 outputs
Outputs of similar age
#80,239
of 151,280 outputs
Outputs of similar age from Language Resources & Evaluation
#2
of 4 outputs
Altmetric has tracked 13,020,564 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 166 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 32nd percentile – i.e., 32% 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 151,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.