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Investigating body patterning in aquarium-raised flamboyant cuttlefish (Metasepia pfefferi)

Overview of attention for article published in PeerJ, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 news outlet
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8 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

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13 Dimensions

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mendeley
56 Mendeley
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Title
Investigating body patterning in aquarium-raised flamboyant cuttlefish (Metasepia pfefferi)
Published in
PeerJ, May 2016
DOI 10.7717/peerj.2035
Pubmed ID
Authors

Amber Thomas, Christy MacDonald

Abstract

Cuttlefish are known for their ability to quickly alter their total appearance, or body pattern, to camouflage or to communicate with predators, prey and conspecifics. The body patterns of some species have been extensively documented to gain a better understanding of their behaviors. However, the flamboyant cuttlefish (Metasepia pfefferi) is largely unstudied. Recently, aquarists have been able to breed, house and display M. pfefferi, giving researchers ample opportunities to study their behavior under those conditions. This study aimed to identify the dorsally-visible components of the body patterns used by 5 sexually-mature, freely-behaving, F5 generation M. pfefferi in their home aquarium at The Seas in Epcot at Walt Disney World Resorts(®), Lake Buena Vista, FL, USA. Furthermore, we aimed to determine the most probable patterns used by this population of animals and to create a database of components that can be used in future behavioral studies. We found that this population of M. pfefferi use a combination of 7 textural, 14 postural, 7 locomotor and between 42 and 75 chromatic components in their home aquarium. Using maximum likelihood analysis and AutoClass@IJM software, we found that these components combine to generate 11 distinct body patterns. The software was able to sort 98% of the live animal observations into one of the 11 patterns with 90% confidence and 88% of observations with 99% confidence. Unusually for cuttlefish, 8 of the 11 identified patterns contained at least one "traveling" component (i.e., traveling waves or blinking spots) in which the colors on the skin appeared to travel on the animal's mantle. In other species, these components are generally seen during hunting or aggression, but this population of M. pfefferi uses them frequently during a variety of contexts in their home aquarium. With few published data on the behavior of M. pfefferi in their natural environment, we cannot compare the behavior of the tank-raised individuals in this study to animals in the wild. However, this study provides the groundwork necessary for future studies of M. pfefferi body patterning and behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 29%
Student > Ph. D. Student 10 18%
Researcher 10 18%
Student > Master 5 9%
Student > Postgraduate 2 4%
Other 2 4%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 41%
Environmental Science 6 11%
Biochemistry, Genetics and Molecular Biology 3 5%
Earth and Planetary Sciences 3 5%
Neuroscience 3 5%
Other 5 9%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 13 December 2021.
All research outputs
#1,992,326
of 24,715,720 outputs
Outputs from PeerJ
#2,114
of 14,727 outputs
Outputs of similar age
#34,258
of 333,663 outputs
Outputs of similar age from PeerJ
#50
of 289 outputs
Altmetric has tracked 24,715,720 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,727 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 85% 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 333,663 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 89% of its contemporaries.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.