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Many, more, most: four risk profiles of adolescents in residential care with major psychiatric problems

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, December 2017
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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 (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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13 X users

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Title
Many, more, most: four risk profiles of adolescents in residential care with major psychiatric problems
Published in
Child and Adolescent Psychiatry and Mental Health, December 2017
DOI 10.1186/s13034-017-0204-1
Pubmed ID
Authors

Elisabeth A. W. Janssen-de Ruijter, Eva A. Mulder, Jeroen K. Vermunt, Chijs van Nieuwenhuizen

Abstract

The development of delinquent behaviour is largely determined by the presence of (multiple) risk factors. It is essential to focus on the patterns of co-occurring risk factors in different subgroups in order to better understand disruptive behaviour. The aim of this study was to examine whether subgroups could be identified to obtain more insight into the patterns of co-occurring risk factors in a population of adolescents in residential care. Based on the results of prior studies, at least one subgroup with many risk factors in multiple domains and one subgroup with primarily risk factors in a single domain were expected. The structured assessment of violence risk in youth and the juvenile forensic profile were used to operationalize eleven risk factors in four domains: individual, family, peer and school. Data from 270 male adolescents admitted to a hospital for youth forensic psychiatry and orthopsychiatry in the Netherlands were available. Latent class analysis was used to identify subgroups and significant differences between the subgroups were examined in more detail. Based on the fit statistics and the clinical interpretability, the four-class model was chosen. The four classes had different patterns of co-occurring risk factors, and differed in the included external variables such as psychopathology and criminal behaviour. Two groups were found with many risk factors in multiple domains and two groups with fewer (but still several) risk factors in single domains. This study shed light on the complexity of disruptive behaviour, providing a better insight into the patterns of co-occurring risk factors in a heterogeneous population of adolescents with major psychiatric problems admitted to residential care.

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The data shown below were collected from the profiles of 13 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 7 11%
Student > Bachelor 4 7%
Researcher 3 5%
Other 6 10%
Unknown 24 39%
Readers by discipline Count As %
Psychology 16 26%
Social Sciences 5 8%
Medicine and Dentistry 5 8%
Neuroscience 3 5%
Nursing and Health Professions 3 5%
Other 4 7%
Unknown 25 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 May 2019.
All research outputs
#3,643,891
of 23,012,811 outputs
Outputs from Child and Adolescent Psychiatry and Mental Health
#165
of 662 outputs
Outputs of similar age
#78,881
of 440,404 outputs
Outputs of similar age from Child and Adolescent Psychiatry and Mental Health
#11
of 25 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 75% 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 440,404 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 82% of its contemporaries.
We're also able to compare this research output to 25 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 56% of its contemporaries.