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The Puzzling Unidimensionality of DSM-5 Substance Use Disorder Diagnoses

Overview of attention for article published in Frontiers in Psychiatry, 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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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21 X users

Citations

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41 Mendeley
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Title
The Puzzling Unidimensionality of DSM-5 Substance Use Disorder Diagnoses
Published in
Frontiers in Psychiatry, January 2013
DOI 10.3389/fpsyt.2013.00153
Pubmed ID
Authors

Robert J. MacCoun

Abstract

There is a perennial expert debate about the criteria to be included or excluded for the DSM diagnoses of substance use dependence. Yet analysts routinely report evidence for the unidimensionality of the resulting checklist. If in fact the checklist is unidimensional, the experts are wrong that the criteria are distinct, so either the experts are mistaken or the reported unidimensionality is spurious. I argue for the latter position, and suggest that the traditional reflexive measurement model is inappropriate for the DSM; a formative measurement model would be a more accurate characterization of the institutional process by which the checklist is created, and a network or causal model would be a more appropriate foundation for a scientifically grounded diagnostic system.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Student > Master 5 12%
Other 3 7%
Student > Bachelor 3 7%
Researcher 3 7%
Other 9 22%
Unknown 13 32%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Psychology 8 20%
Social Sciences 4 10%
Agricultural and Biological Sciences 1 2%
Nursing and Health Professions 1 2%
Other 4 10%
Unknown 13 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 21 November 2018.
All research outputs
#3,012,359
of 25,750,437 outputs
Outputs from Frontiers in Psychiatry
#1,751
of 12,883 outputs
Outputs of similar age
#28,840
of 290,999 outputs
Outputs of similar age from Frontiers in Psychiatry
#48
of 185 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 86% 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 290,999 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 90% of its contemporaries.
We're also able to compare this research output to 185 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 74% of its contemporaries.