↓ Skip to main content

A Neural Network System for Transformation of Regional Cuisine Style

Overview of attention for article published in Frontiers in ICT, July 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 144)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
3 news outlets
blogs
3 blogs
twitter
69 X users
facebook
1 Facebook page
googleplus
3 Google+ users
reddit
1 Redditor
video
1 YouTube creator

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Neural Network System for Transformation of Regional Cuisine Style
Published in
Frontiers in ICT, July 2018
DOI 10.3389/fict.2018.00014
Authors

Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, Yoshiki Ishikawa

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Master 5 15%
Student > Ph. D. Student 3 9%
Student > Postgraduate 3 9%
Student > Bachelor 2 6%
Other 1 3%
Unknown 14 41%
Readers by discipline Count As %
Computer Science 5 15%
Biochemistry, Genetics and Molecular Biology 3 9%
Business, Management and Accounting 3 9%
Arts and Humanities 3 9%
Agricultural and Biological Sciences 2 6%
Other 4 12%
Unknown 14 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 14 October 2020.
All research outputs
#421,871
of 25,646,963 outputs
Outputs from Frontiers in ICT
#3
of 144 outputs
Outputs of similar age
#8,993
of 341,142 outputs
Outputs of similar age from Frontiers in ICT
#1
of 10 outputs
Altmetric has tracked 25,646,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 144 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 97% 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 341,142 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 10 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