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Steganographic secret sharing via AI-generated photorealistic images

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, December 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
Title
Steganographic secret sharing via AI-generated photorealistic images
Published in
EURASIP Journal on Wireless Communications and Networking, December 2022
DOI 10.1186/s13638-022-02190-8
Authors

Kai Gao, Ching-Chun Chang, Ji-Hwei Horng, Isao Echizen

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Researcher 1 14%
Lecturer 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Unspecified 1 14%
Business, Management and Accounting 1 14%
Computer Science 1 14%
Engineering 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 May 2023.
All research outputs
#15,305,492
of 25,584,565 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#273
of 553 outputs
Outputs of similar age
#208,147
of 483,697 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#2
of 4 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 553 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 50% 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 483,697 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 54% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.