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Automatic machine translation error identification

Overview of attention for article published in Machine Translation, November 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 130)
  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
35 Mendeley
Title
Automatic machine translation error identification
Published in
Machine Translation, November 2014
DOI 10.1007/s10590-014-9163-y
Authors

Débora Beatriz de Jesus Martins, Helena de Medeiros Caseli

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Doctoral Student 5 14%
Lecturer 5 14%
Student > Bachelor 4 11%
Researcher 3 9%
Other 6 17%
Unknown 6 17%
Readers by discipline Count As %
Linguistics 10 29%
Computer Science 8 23%
Arts and Humanities 6 17%
Agricultural and Biological Sciences 2 6%
Social Sciences 2 6%
Other 2 6%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 February 2016.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from Machine Translation
#40
of 130 outputs
Outputs of similar age
#108,989
of 363,430 outputs
Outputs of similar age from Machine Translation
#2
of 3 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 130 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 48th percentile – i.e., 48% 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 363,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
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.