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Scepticism and hope in a complex predicament: People with addictions deliberate about neuroscience

Overview of attention for article published in International Journal of Drug Policy, March 2016
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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)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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28 X users

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84 Mendeley
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Title
Scepticism and hope in a complex predicament: People with addictions deliberate about neuroscience
Published in
International Journal of Drug Policy, March 2016
DOI 10.1016/j.drugpo.2016.03.004
Pubmed ID
Authors

Carla Meurk, Kylie Morphett, Adrian Carter, Megan Weier, Jayne Lucke, Wayne Hall

Abstract

According to the 'brain disease model of addiction', addiction is a chronic condition the symptoms of which reflect persistent changes in neural functioning produced by long-term drug use. Scholars have argued both for and against the validity and usefulness of this way of conceptualising addiction, which has been variously described as emancipatory and detrimental to addicted persons. In this paper we explore how people with addictions make sense of the brain disease concept and the extent to which they find it useful. We conducted 44 semi-structured interviews with persons in treatment for drug and alcohol addiction recruited through a variety of channels. Transcripts were analysed by combining a health identity approach with thematic analysis. We describe participants' understandings of how they became addicted and what role, if any, neurobiological conceptions play in their explanations. Our findings highlight the hopeful and sceptical viewpoints of addicted individuals on the value of addiction neuroscience ideas and neurotechnologies. These viewpoints shed some light on the diverse and divergent ways that people with addictions make sense of neurobiological ideas and technologies. It also describes when, and how, neurobiological explanations and the 'brain disease' model can be helpful to addicted persons. Some of the limitations of the brain disease model become apparent in the complex ways in which neurobiological explanations and labels are incorporated into lay understandings. In order to be more useful to addicted persons, neurobiological explanations should be provided as part of a more complex explanation of addiction and the brain than the BDMA offers, and should not be given a 'disease' label.

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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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Belgium 1 1%
Switzerland 1 1%
Unknown 81 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 18%
Student > Master 13 15%
Student > Ph. D. Student 9 11%
Researcher 7 8%
Student > Doctoral Student 4 5%
Other 13 15%
Unknown 23 27%
Readers by discipline Count As %
Psychology 21 25%
Social Sciences 8 10%
Neuroscience 8 10%
Medicine and Dentistry 6 7%
Arts and Humanities 4 5%
Other 11 13%
Unknown 26 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 01 September 2016.
All research outputs
#2,277,466
of 25,374,917 outputs
Outputs from International Journal of Drug Policy
#848
of 3,046 outputs
Outputs of similar age
#35,819
of 314,783 outputs
Outputs of similar age from International Journal of Drug Policy
#12
of 62 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.6. This one has gotten more attention than average, scoring higher than 72% 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 314,783 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 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.