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Zero-resource machine translation by multimodal encoder–decoder network with multimedia pivot

Overview of attention for article published in Machine Translation, May 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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5 X users

Citations

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28 Dimensions

Readers on

mendeley
110 Mendeley
Title
Zero-resource machine translation by multimodal encoder–decoder network with multimedia pivot
Published in
Machine Translation, May 2017
DOI 10.1007/s10590-017-9197-z
Authors

Hideki Nakayama, Noriki Nishida

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 2%
Netherlands 1 <1%
Unknown 107 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Student > Ph. D. Student 21 19%
Student > Bachelor 15 14%
Researcher 8 7%
Student > Doctoral Student 5 5%
Other 16 15%
Unknown 22 20%
Readers by discipline Count As %
Computer Science 68 62%
Engineering 7 6%
Linguistics 6 5%
Philosophy 2 2%
Mathematics 2 2%
Other 4 4%
Unknown 21 19%
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 28 March 2018.
All research outputs
#13,819,790
of 24,138,997 outputs
Outputs from Machine Translation
#76
of 135 outputs
Outputs of similar age
#154,309
of 317,330 outputs
Outputs of similar age from Machine Translation
#2
of 5 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 135 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 43rd percentile – i.e., 43% 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 317,330 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 50% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.