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“I Don’t Have Time for an Emotional Life”: Marginalization, Dependency and Melancholic Suspension in Disability

Overview of attention for article published in Culture, Medicine, and Psychiatry, September 2016
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
57 Mendeley
Title
“I Don’t Have Time for an Emotional Life”: Marginalization, Dependency and Melancholic Suspension in Disability
Published in
Culture, Medicine, and Psychiatry, September 2016
DOI 10.1007/s11013-016-9503-x
Pubmed ID
Authors

Brian Watermeyer

Abstract

Social scientific analyses of inequality inform interventions ranging from the material and political to the personal and psychological. At the extremes of this continuum, Marxian militants view the exploration of the inner lives of oppressed people as irrelevant to liberation, while psychoanalysts bemoan the naïveté of "depsychologized" conceptions of the social subject. While both approaches have been applied to disability inequality, an historical materialist view has dominated the discipline of disability studies, where attention has only recently turned to psychological aspects of oppression. This article provides a brief introduction to some key aspects of the social and economic marginalization experienced globally by the disability minority. Thereafter, the complex debates around materialist and psychological accounts of, and interventions upon, racism and disablism are explored and compared, with particular reference to the place of grief and loss in disability discourse. The clinical fragment which forms the title of this paper introduces an engagement with Cheng's model of racial melancholia, its conceptual origins and explanatory power. The balance of the paper considers how Cheng's work may help illuminate how it is that disability inequality, like that of race, may remain an obstinate reality notwithstanding material interventions aimed at overturning it.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 23%
Student > Ph. D. Student 6 11%
Student > Master 4 7%
Lecturer 4 7%
Researcher 3 5%
Other 10 18%
Unknown 17 30%
Readers by discipline Count As %
Social Sciences 10 18%
Psychology 9 16%
Nursing and Health Professions 5 9%
Medicine and Dentistry 3 5%
Linguistics 2 4%
Other 7 12%
Unknown 21 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 April 2017.
All research outputs
#2,351,593
of 24,072,790 outputs
Outputs from Culture, Medicine, and Psychiatry
#122
of 627 outputs
Outputs of similar age
#41,040
of 337,615 outputs
Outputs of similar age from Culture, Medicine, and Psychiatry
#3
of 6 outputs
Altmetric has tracked 24,072,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 80% 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 337,615 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 87% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.