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Affective forecasting in an orangutan: predicting the hedonic outcome of novel juice mixes

Overview of attention for article published in Animal Cognition, August 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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21 news outlets
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4 blogs
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28 X users
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3 Facebook pages
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1 Google+ user
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1 YouTube creator

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33 Mendeley
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Title
Affective forecasting in an orangutan: predicting the hedonic outcome of novel juice mixes
Published in
Animal Cognition, August 2016
DOI 10.1007/s10071-016-1015-0
Pubmed ID
Authors

Gabriela-Alina Sauciuc, Tomas Persson, Rasmus Bååth, Katarzyna Bobrowicz, Mathias Osvath

Abstract

Affective forecasting is an ability that allows the prediction of the hedonic outcome of never-before experienced situations, by mentally recombining elements of prior experiences into possible scenarios, and pre-experiencing what these might feel like. It has been hypothesised that this ability is uniquely human. For example, given prior experience with the ingredients, but in the absence of direct experience with the mixture, only humans are said to be able to predict that lemonade tastes better with sugar than without it. Non-human animals, on the other hand, are claimed to be confined to predicting-exclusively and inflexibly-the outcome of previously experienced situations. Relying on gustatory stimuli, we devised a non-verbal method for assessing affective forecasting and tested comparatively one Sumatran orangutan and ten human participants. Administered as binary choices, the test required the participants to mentally construct novel juice blends from familiar ingredients and to make hedonic predictions concerning the ensuing mixes. The orangutan's performance was within the range of that shown by the humans. Both species made consistent choices that reflected independently measured taste preferences for the stimuli. Statistical models fitted to the data confirmed the predictive accuracy of such a relationship. The orangutan, just like humans, thus seems to have been able to make hedonic predictions concerning never-before experienced events.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 12%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Researcher 3 9%
Other 2 6%
Other 2 6%
Unknown 16 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 15%
Psychology 4 12%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Environmental Science 1 3%
Other 4 12%
Unknown 17 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 220. 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 25 January 2017.
All research outputs
#172,442
of 25,196,456 outputs
Outputs from Animal Cognition
#59
of 1,552 outputs
Outputs of similar age
#3,443
of 365,042 outputs
Outputs of similar age from Animal Cognition
#1
of 25 outputs
Altmetric has tracked 25,196,456 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 1,552 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one has done particularly well, scoring higher than 96% 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 365,042 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 25 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 99% of its contemporaries.