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Robust Understanding of Robot-Directed Speech Commands Using Sequence to Sequence With Noise Injection

Overview of attention for article published in Frontiers in Robotics and AI, January 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Robust Understanding of Robot-Directed Speech Commands Using Sequence to Sequence With Noise Injection
Published in
Frontiers in Robotics and AI, January 2020
DOI 10.3389/frobt.2019.00144
Pubmed ID
Authors

Yuuki Tada, Yoshinobu Hagiwara, Hiroki Tanaka, Tadahiro Taniguchi

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Bachelor 2 15%
Professor 2 15%
Student > Master 2 15%
Librarian 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 7 54%
Engineering 3 23%
Social Sciences 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 1 8%
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 02 March 2022.
All research outputs
#6,339,140
of 25,386,440 outputs
Outputs from Frontiers in Robotics and AI
#371
of 1,762 outputs
Outputs of similar age
#125,219
of 473,058 outputs
Outputs of similar age from Frontiers in Robotics and AI
#17
of 49 outputs
Altmetric has tracked 25,386,440 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 1,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 78% 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 473,058 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 49 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 67% of its contemporaries.