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Neurocognitive mechanisms underlying value-based decision-making: from core values to economic value

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Neurocognitive mechanisms underlying value-based decision-making: from core values to economic value
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00398
Pubmed ID
Authors

Tobias Brosch, David Sander

Abstract

VALUE PLAYS A CENTRAL ROLE IN PRACTICALLY EVERY ASPECT OF HUMAN LIFE THAT REQUIRES A DECISION: whether we choose between different consumer goods, whether we decide which person we marry or which political candidate gets our vote, we choose the option that has more value to us. Over the last decade, neuroeconomic research has mapped the neural substrates of economic value, revealing that activation in brain regions such as ventromedial prefrontal cortex (VMPFC), ventral striatum or posterior cingulate cortex reflects how much an individual values an option and which of several options he/she will choose. However, while great progress has been made exploring the mechanisms underlying concrete decisions, neuroeconomic research has been less concerned with the questions of why people value what they value, and why different people value different things. Social psychologists and sociologists have long been interested in core values, motivational constructs that are intrinsically linked to the self-schema and are used to guide actions and decisions across different situations and different time points. Core value may thus be an important determinant of individual differences in economic value computation and decision-making. Based on a review of recent neuroimaging studies investigating the neural representation of core values and their interactions with neural systems representing economic value, we outline a common framework that integrates the core value concept and neuroeconomic research on value-based decision-making.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 2 1%
Canada 2 1%
France 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Unknown 146 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 31%
Student > Master 26 17%
Researcher 21 13%
Student > Bachelor 14 9%
Student > Doctoral Student 8 5%
Other 18 11%
Unknown 22 14%
Readers by discipline Count As %
Psychology 51 32%
Neuroscience 24 15%
Agricultural and Biological Sciences 15 10%
Medicine and Dentistry 9 6%
Social Sciences 6 4%
Other 23 15%
Unknown 29 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 May 2020.
All research outputs
#3,305,941
of 23,867,274 outputs
Outputs from Frontiers in Human Neuroscience
#1,600
of 7,383 outputs
Outputs of similar age
#34,186
of 286,849 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#255
of 861 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,383 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done well, scoring higher than 78% 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 286,849 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 88% of its contemporaries.
We're also able to compare this research output to 861 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 70% of its contemporaries.