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Web-based environment for user generation of spoken dialog for virtual assistants

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, November 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 131)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
13 X users
facebook
1 Facebook page

Readers on

mendeley
25 Mendeley
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Title
Web-based environment for user generation of spoken dialog for virtual assistants
Published in
EURASIP Journal on Audio, Speech, and Music Processing, November 2018
DOI 10.1186/s13636-018-0142-8
Authors

Ryota Nishimura, Daisuke Yamamoto, Takahiro Uchiya, Ichi Takumi

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Bachelor 3 12%
Student > Master 3 12%
Lecturer > Senior Lecturer 2 8%
Researcher 2 8%
Other 4 16%
Unknown 5 20%
Readers by discipline Count As %
Computer Science 8 32%
Engineering 3 12%
Business, Management and Accounting 1 4%
Arts and Humanities 1 4%
Social Sciences 1 4%
Other 3 12%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 December 2018.
All research outputs
#4,160,941
of 25,385,509 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#9
of 131 outputs
Outputs of similar age
#72,582
of 336,950 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 2 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 93% 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 336,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them