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Knowledge Distillation for Translating Erroneous Speech Transcriptions

Overview of attention for article published in Journal of Natural Language Processing, January 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#28 of 186)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
40 Mendeley
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Title
Knowledge Distillation for Translating Erroneous Speech Transcriptions
Published in
Journal of Natural Language Processing, January 2022
DOI 10.5715/jnlp.29.344
Authors

Ryo Fukuda, Katsuhito Sudoh, Satoshi Nakamura

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 13%
Student > Master 3 8%
Researcher 3 8%
Student > Ph. D. Student 3 8%
Unspecified 1 3%
Other 2 5%
Unknown 23 57%
Readers by discipline Count As %
Computer Science 9 23%
Linguistics 5 13%
Agricultural and Biological Sciences 2 5%
Unspecified 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 21 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 June 2022.
All research outputs
#6,656,994
of 25,766,791 outputs
Outputs from Journal of Natural Language Processing
#28
of 186 outputs
Outputs of similar age
#139,244
of 519,197 outputs
Outputs of similar age from Journal of Natural Language Processing
#10
of 23 outputs
Altmetric has tracked 25,766,791 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 186 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 84% of its peers.
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 519,197 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 73% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.