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Neighbors helping the poor: improving low-resource machine translation using related languages

Overview of attention for article published in Machine Translation, September 2019
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Mentioned by

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1 X user

Citations

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20 Dimensions

Readers on

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21 Mendeley
Title
Neighbors helping the poor: improving low-resource machine translation using related languages
Published in
Machine Translation, September 2019
DOI 10.1007/s10590-019-09236-7
Authors

Nima Pourdamghani, Kevin Knight

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 19%
Student > Ph. D. Student 3 14%
Student > Bachelor 3 14%
Lecturer 2 10%
Other 1 5%
Other 0 0%
Unknown 8 38%
Readers by discipline Count As %
Computer Science 6 29%
Linguistics 5 24%
Arts and Humanities 1 5%
Unknown 9 43%
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 21 October 2019.
All research outputs
#18,694,159
of 23,168,000 outputs
Outputs from Machine Translation
#102
of 130 outputs
Outputs of similar age
#258,442
of 345,857 outputs
Outputs of similar age from Machine Translation
#6
of 6 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 6th percentile – i.e., 6% 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 345,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.