↓ Skip to main content

Crawl and crowd to bring machine translation to under-resourced languages

Overview of attention for article published in Language Resources and Evaluation, June 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
28 Mendeley
Title
Crawl and crowd to bring machine translation to under-resourced languages
Published in
Language Resources and Evaluation, June 2016
DOI 10.1007/s10579-016-9363-6
Authors

Antonio Toral, Miquel Esplá-Gomis, Filip Klubička, Nikola Ljubešić, Vassilis Papavassiliou, Prokopis Prokopidis, Raphael Rubino, Andy Way

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Lecturer 4 14%
Researcher 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 6 21%
Unknown 6 21%
Readers by discipline Count As %
Linguistics 7 25%
Computer Science 4 14%
Social Sciences 4 14%
Business, Management and Accounting 1 4%
Economics, Econometrics and Finance 1 4%
Other 4 14%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 March 2017.
All research outputs
#16,121,987
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#212
of 331 outputs
Outputs of similar age
#227,727
of 356,982 outputs
Outputs of similar age from Language Resources and Evaluation
#3
of 10 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 35th percentile – i.e., 35% 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 356,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.