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Dread and the Disvalue of Future Pain

Overview of attention for article published in PLoS Computational Biology, November 2013
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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 (98th percentile)

Mentioned by

news
22 news outlets
blogs
7 blogs
twitter
33 X users
facebook
4 Facebook pages
googleplus
1 Google+ user

Citations

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43 Dimensions

Readers on

mendeley
114 Mendeley
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Title
Dread and the Disvalue of Future Pain
Published in
PLoS Computational Biology, November 2013
DOI 10.1371/journal.pcbi.1003335
Pubmed ID
Authors

Giles W. Story, Ivaylo Vlaev, Ben Seymour, Joel S. Winston, Ara Darzi, Raymond J. Dolan

Abstract

Standard theories of decision-making involving delayed outcomes predict that people should defer a punishment, whilst advancing a reward. In some cases, such as pain, people seem to prefer to expedite punishment, implying that its anticipation carries a cost, often conceptualized as 'dread'. Despite empirical support for the existence of dread, whether and how it depends on prospective delay is unknown. Furthermore, it is unclear whether dread represents a stable component of value, or is modulated by biases such as framing effects. Here, we examine choices made between different numbers of painful shocks to be delivered faithfully at different time points up to 15 minutes in the future, as well as choices between hypothetical painful dental appointments at time points of up to approximately eight months in the future, to test alternative models for how future pain is disvalued. We show that future pain initially becomes increasingly aversive with increasing delay, but does so at a decreasing rate. This is consistent with a value model in which moment-by-moment dread increases up to the time of expected pain, such that dread becomes equivalent to the discounted expectation of pain. For a minority of individuals pain has maximum negative value at intermediate delay, suggesting that the dread function may itself be prospectively discounted in time. Framing an outcome as relief reduces the overall preference to expedite pain, which can be parameterized by reducing the rate of the dread-discounting function. Our data support an account of disvaluation for primary punishments such as pain, which differs fundamentally from existing models applied to financial punishments, in which dread exerts a powerful but time-dependent influence over choice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
United States 3 3%
Italy 1 <1%
Japan 1 <1%
Mexico 1 <1%
Unknown 104 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 32%
Student > Master 11 10%
Researcher 10 9%
Student > Bachelor 10 9%
Student > Postgraduate 10 9%
Other 21 18%
Unknown 16 14%
Readers by discipline Count As %
Psychology 41 36%
Medicine and Dentistry 11 10%
Agricultural and Biological Sciences 10 9%
Neuroscience 7 6%
Economics, Econometrics and Finance 5 4%
Other 18 16%
Unknown 22 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 247. 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 28 August 2023.
All research outputs
#154,179
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#101
of 9,043 outputs
Outputs of similar age
#1,252
of 317,689 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 146 outputs
Altmetric has tracked 25,806,080 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 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 98% 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 317,689 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 146 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 98% of its contemporaries.