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Fish and Robots Swimming Together in a Water Tunnel: Robot Color and Tail-Beat Frequency Influence Fish Behavior

Overview of attention for article published in PLOS ONE, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
twitter
2 X users
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Fish and Robots Swimming Together in a Water Tunnel: Robot Color and Tail-Beat Frequency Influence Fish Behavior
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077589
Pubmed ID
Authors

Giovanni Polverino, Paul Phamduy, Maurizio Porfiri

Abstract

The possibility of integrating bioinspired robots in groups of live social animals may constitute a valuable tool to study the basis of social behavior and uncover the fundamental determinants of animal functions and dysfunctions. In this study, we investigate the interactions between individual golden shiners (Notemigonus crysoleucas) and robotic fish swimming together in a water tunnel at constant flow velocity. The robotic fish is designed to mimic its live counterpart in the aspect ratio, body shape, dimension, and locomotory pattern. Fish positional preference with respect to the robot is experimentally analyzed as the robot's color pattern and tail-beat frequency are varied. Behavioral observations are corroborated by particle image velocimetry studies aimed at investigating the flow structure behind the robotic fish. Experimental results show that the time spent by golden shiners in the vicinity of the bioinspired robotic fish is the highest when the robot mimics their natural color pattern and beats its tail at the same frequency. In these conditions, fish tend to swim at the same depth of the robotic fish, where the wake from the robotic fish is stronger and hydrodynamic return is most likely to be effective.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 34%
Student > Bachelor 12 16%
Researcher 7 9%
Student > Master 6 8%
Professor 5 6%
Other 9 12%
Unknown 12 16%
Readers by discipline Count As %
Engineering 23 30%
Agricultural and Biological Sciences 19 25%
Computer Science 6 8%
Neuroscience 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 9 12%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 21 November 2013.
All research outputs
#749,431
of 25,880,948 outputs
Outputs from PLOS ONE
#9,905
of 225,721 outputs
Outputs of similar age
#6,378
of 225,833 outputs
Outputs of similar age from PLOS ONE
#271
of 5,130 outputs
Altmetric has tracked 25,880,948 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 95% 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 225,833 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 5,130 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.