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The autism puzzle: challenging a mechanistic model on conceptual and historical grounds

Overview of attention for article published in Philosophy, Ethics, and Humanities in Medicine, November 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 (81st percentile)

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Title
The autism puzzle: challenging a mechanistic model on conceptual and historical grounds
Published in
Philosophy, Ethics, and Humanities in Medicine, November 2013
DOI 10.1186/1747-5341-8-17
Pubmed ID
Authors

Berend Verhoeff

Abstract

Although clinicians and researchers working in the field of autism are generally not concerned with philosophical categories of kinds, a model for understanding the nature of autism is important for guiding research and clinical practice. Contemporary research in the field of autism is guided by the depiction of autism as a scientific object that can be identified with systematic neuroscientific investigation. This image of autism is compatible with a permissive account of natural kinds: the mechanistic property cluster (MPC) account of natural kinds, recently proposed as the model for understanding psychiatric disorders. Despite the heterogeneity, multicausality and fuzzy boundaries that complicate autism research, a permissive account of natural kinds (MPC kinds) provides prescriptive guidance for the investigation of objective causal mechanisms that should inform nosologists in their attempt to carve autism's boundaries at its natural joints. However, this essay will argue that a mechanistic model of autism is limited since it disregards the way in which autism relates to ideas about what kind of behavior is abnormal. As historical studies and definitions of autism show, normative issues concerning disability, impairment and societal needs have been and still are inextricably linked to how we recognize and understand autism. The current search for autism's unity in neurobiological mechanisms ignores the values, social norms and various perspectives on mental pathology that play a significant role in 'the thing called autism'. Autism research needs to engage with these issues in order to achieve more success in the effort to become clinically valuable.

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The data shown below were collected from the profiles of 12 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 27%
Student > Ph. D. Student 11 15%
Student > Bachelor 8 11%
Researcher 7 10%
Other 7 10%
Other 14 20%
Unknown 5 7%
Readers by discipline Count As %
Social Sciences 17 24%
Psychology 16 23%
Medicine and Dentistry 10 14%
Nursing and Health Professions 5 7%
Neuroscience 5 7%
Other 10 14%
Unknown 8 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 July 2022.
All research outputs
#4,750,345
of 25,373,627 outputs
Outputs from Philosophy, Ethics, and Humanities in Medicine
#116
of 234 outputs
Outputs of similar age
#42,208
of 229,119 outputs
Outputs of similar age from Philosophy, Ethics, and Humanities in Medicine
#5
of 7 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 234 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 50% 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 229,119 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 81% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.