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Neuroprediction, Violence, and the Law: Setting the Stage

Overview of attention for article published in Neuroethics, November 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

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1 news outlet
blogs
1 blog
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4 X users

Citations

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51 Dimensions

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127 Mendeley
Title
Neuroprediction, Violence, and the Law: Setting the Stage
Published in
Neuroethics, November 2010
DOI 10.1007/s12152-010-9095-z
Pubmed ID
Authors

Thomas Nadelhoffer, Stephanos Bibas, Scott Grafton, Kent A. Kiehl, Andrew Mansfield, Walter Sinnott-Armstrong, Michael Gazzaniga

Abstract

In this paper, our goal is to (a) survey some of the legal contexts within which violence risk assessment already plays a prominent role, (b) explore whether developments in neuroscience could potentially be used to improve our ability to predict violence, and (c) discuss whether neuropredictive models of violence create any unique legal or moral problems above and beyond the well worn problems already associated with prediction more generally. In "Violence Risk Assessment and the Law", we briefly examine the role currently played by predictions of violence in three high stakes legal contexts: capital sentencing ("Violence Risk Assessment and Capital Sentencing"), civil commitment hearings ("Violence Risk Assessment and Civil Commitment"), and "sexual predator" statutes ("Violence Risk Assessment and Sexual Predator Statutes"). In "Clinical vs. Actuarial Violence Risk Assessment", we briefly examine the distinction between traditional clinical methods of predicting violence and more recently developed actuarial methods, exemplified by the Classification of Violence Risk (COVR) software created by John Monahan and colleagues as part of the MacArthur Study of Mental Disorder and Violence [1]. In "The Neural Correlates of Psychopathy", we explore what neuroscience currently tells us about the neural correlates of violence, using the recent neuroscientific research on psychopathy as our focus. We also discuss some recent advances in both data collection ("Cutting-Edge Data Collection: Genetically Informed Neuroimaging") and data analysis ("Cutting-Edge Data Analysis: Pattern Classification") that we believe will play an important role when it comes to future neuroscientific research on violence. In "The Potential Promise of Neuroprediction", we discuss whether neuroscience could potentially be used to improve our ability to predict future violence. Finally, in "The Potential Perils of Neuroprediction", we explore some potential evidentiary ("Evidentiary Issues"), constitutional ("Constitutional Issues"), and moral ("Moral Issues") issues that may arise in the context of the neuroprediction of violence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Sweden 1 <1%
Canada 1 <1%
Mexico 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 119 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Student > Master 17 13%
Student > Bachelor 14 11%
Researcher 12 9%
Student > Doctoral Student 10 8%
Other 29 23%
Unknown 21 17%
Readers by discipline Count As %
Psychology 46 36%
Medicine and Dentistry 14 11%
Social Sciences 12 9%
Neuroscience 7 6%
Philosophy 4 3%
Other 17 13%
Unknown 27 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 22 September 2018.
All research outputs
#1,443,993
of 22,665,794 outputs
Outputs from Neuroethics
#54
of 416 outputs
Outputs of similar age
#7,767
of 179,710 outputs
Outputs of similar age from Neuroethics
#1
of 3 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 416 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 87% 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 179,710 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 95% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them