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Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game

Overview of attention for article published in Frontiers in Robotics and AI, January 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game
Published in
Frontiers in Robotics and AI, January 2024
DOI 10.3389/frobt.2023.1290604
Pubmed ID
Authors

Nguyen Le Hoang, Tadahiro Taniguchi, Yoshinobu Hagiwara, Akira Taniguchi

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Environmental Science 1 50%
Unknown 1 50%
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 20 February 2024.
All research outputs
#15,404,173
of 25,728,855 outputs
Outputs from Frontiers in Robotics and AI
#767
of 1,789 outputs
Outputs of similar age
#138,733
of 345,625 outputs
Outputs of similar age from Frontiers in Robotics and AI
#7
of 62 outputs
Altmetric has tracked 25,728,855 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 1,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 54% 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 345,625 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 58% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.