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Attitudes toward risk and ambiguity in patients with autism spectrum disorder

Overview of attention for article published in Molecular Autism, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Attitudes toward risk and ambiguity in patients with autism spectrum disorder
Published in
Molecular Autism, August 2017
DOI 10.1186/s13229-017-0162-8
Pubmed ID
Authors

Junya Fujino, Shisei Tei, Ryu-ichiro Hashimoto, Takashi Itahashi, Haruhisa Ohta, Chieko Kanai, Rieko Okada, Manabu Kubota, Motoaki Nakamura, Nobumasa Kato, Hidehiko Takahashi

Abstract

Although the ability to make optimal decisions under uncertainty is an integral part of everyday life, individuals with autism spectrum disorder (ASD) frequently report that they experience difficulties with this skill. In behavioral economics, researchers distinguish two types of uncertainty to understand decision-making in this setting: risk (known probabilities) and ambiguity (unknown probabilities). However, it remains unclear how individuals with ASD behave under risk and ambiguity, despite growing evidence of their altered decision-making under uncertainty. We therefore extended previous research by studying the attitudes of those with ASD toward risk and ambiguity in both positive and negative contexts (i.e., gain and loss). In gain contexts, no significant difference was observed between the groups in risk attitudes, but ambiguity aversion was attenuated in ASD. In loss contexts, ambiguity attitudes did not significantly differ between the groups, but the ASD participants were less risk-seeking compared with the controls. In addition, insensitivity to the context change under risk and ambiguity in ASD was both significantly associated with poor social skills. These results improve our understanding of altered decision-making under uncertainty by disentangling the attitudes toward risk and ambiguity in ASD individuals. Applying behavioral economic tools may provide insights into the mechanisms underlying behavioral disturbances in ASD.

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The data shown below were collected from the profiles of 9 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Researcher 13 13%
Student > Master 9 9%
Student > Doctoral Student 6 6%
Student > Bachelor 6 6%
Other 17 18%
Unknown 33 34%
Readers by discipline Count As %
Psychology 32 33%
Neuroscience 8 8%
Medicine and Dentistry 6 6%
Social Sciences 5 5%
Economics, Econometrics and Finance 3 3%
Other 9 9%
Unknown 34 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 December 2023.
All research outputs
#6,361,124
of 25,654,806 outputs
Outputs from Molecular Autism
#408
of 722 outputs
Outputs of similar age
#86,357
of 309,949 outputs
Outputs of similar age from Molecular Autism
#8
of 16 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 309,949 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.