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There’s no ball without noise: cats’ prediction of an object from noise

Overview of attention for article published in Animal Cognition, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 1,588)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
69 news outlets
blogs
12 blogs
twitter
238 X users
facebook
11 Facebook pages
googleplus
2 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
61 Mendeley
citeulike
1 CiteULike
Title
There’s no ball without noise: cats’ prediction of an object from noise
Published in
Animal Cognition, June 2016
DOI 10.1007/s10071-016-1001-6
Pubmed ID
Authors

Saho Takagi, Minori Arahori, Hitomi Chijiiwa, Mana Tsuzuki, Yuya Hataji, Kazuo Fujita

Abstract

We used an expectancy violation procedure to ask whether cats could use a causal rule to infer the presence of an unseen object on hearing the noise it made inside a container and predict its appearance when the container was turned over. We presented cats with either an object dropping out of an opaque container or no object dropping out (turning-over phase) after producing either a rattling sound by shaking the container with the object inside, or no sound (shaking phase). The cats were then allowed to freely explore the experimental environment (exploration phase). The relation between the sound and the object matched with physical laws in half of the trials (congruent condition) and mismatched in the other half (incongruent condition). Inferring the presence of an unseen object from the noise was predicted to result in longer looking time in the incongruent condition. The prediction was supported by the cats' behavior during the turning-over phase. The results suggest that cats used a causal-logical understanding of auditory stimuli to predict the appearance of invisible objects. The ecology of cats' natural hunting style may favor the ability for inference on the basis of sounds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 238 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Student > Bachelor 9 15%
Researcher 8 13%
Student > Master 6 10%
Student > Doctoral Student 4 7%
Other 8 13%
Unknown 13 21%
Readers by discipline Count As %
Psychology 13 21%
Agricultural and Biological Sciences 12 20%
Biochemistry, Genetics and Molecular Biology 4 7%
Philosophy 2 3%
Veterinary Science and Veterinary Medicine 2 3%
Other 10 16%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 809. 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 March 2024.
All research outputs
#23,724
of 25,844,815 outputs
Outputs from Animal Cognition
#8
of 1,588 outputs
Outputs of similar age
#391
of 369,937 outputs
Outputs of similar age from Animal Cognition
#1
of 30 outputs
Altmetric has tracked 25,844,815 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,588 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.0. This one has done particularly well, scoring higher than 99% 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 369,937 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 99% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.