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Comparing three diagnostic algorithms of posttraumatic stress in young children exposed to accidental trauma: an exploratory study

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, May 2015
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Mentioned by

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1 tweeter
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1 peer review site
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1 Facebook page

Citations

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12 Dimensions

Readers on

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27 Mendeley
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Title
Comparing three diagnostic algorithms of posttraumatic stress in young children exposed to accidental trauma: an exploratory study
Published in
Child and Adolescent Psychiatry and Mental Health, May 2015
DOI 10.1186/s13034-015-0046-7
Pubmed ID
Authors

Maj R. Gigengack, Els P. M. van Meijel, Eva Alisic, Ramón J. L. Lindauer

Abstract

Both the DSM-5 algorithm for posttraumatic stress disorder (PTSD) in children 6 years and younger and Scheeringa's alternative PTSD algorithm (PTSD-AA) aim to be more developmentally sensitive for young children than the DSM-IV PTSD algorithm. However, very few studies compared the three algorithms simultaneously. The current study explores diagnostic outcomes of the three algorithms in young child survivors of accidental trauma. Parents of 98 young children (0-7 years) involved in an accident between 2006 and 2012 participated in a semi-structured telephone interview. Child posttraumatic stress symptoms (PTSS) were measured with the Anxiety Disorders Interview Schedule for DSM-IV-Child Version (ADIS-C/P), complemented with items from the Diagnostic Infant and Preschool Assessment (DIPA). Descriptive statistics were used to analyze the characteristics of the children, accident related information and PTS symptoms. We compared the three PTSD algorithms in order to explore the diagnostic outcomes. A total of 9 of the children (9.2 %) showed substantial PTSS. Of these children 2 met the criteria of all three algorithms, 7 met both the DSM-5 subtype for children 6 years and younger and the PTSD-AA algorithm, and 2 did not fully meet any of the algorithms (subsyndromal PTSD). For young children, the DSM-5 subtype for children 6 years and younger and the PTSD-AA algorithm appear to be better suited than the previous DSM-IV algorithm. It remains important that clinicians pay attention to children with subsyndromal PTSD.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Student > Ph. D. Student 5 19%
Student > Doctoral Student 5 19%
Researcher 3 11%
Student > Bachelor 3 11%
Other 5 19%
Readers by discipline Count As %
Psychology 15 56%
Unspecified 5 19%
Social Sciences 5 19%
Medicine and Dentistry 2 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 September 2016.
All research outputs
#4,010,761
of 8,440,126 outputs
Outputs from Child and Adolescent Psychiatry and Mental Health
#192
of 331 outputs
Outputs of similar age
#97,457
of 212,150 outputs
Outputs of similar age from Child and Adolescent Psychiatry and Mental Health
#5
of 12 outputs
Altmetric has tracked 8,440,126 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 212,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 12 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 58% of its contemporaries.