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Using the biopsychosocial model for identifying subgroups of detained juveniles at different risk of re-offending in practice: a latent class regression analysis approach

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, June 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Using the biopsychosocial model for identifying subgroups of detained juveniles at different risk of re-offending in practice: a latent class regression analysis approach
Published in
Child and Adolescent Psychiatry and Mental Health, June 2021
DOI 10.1186/s13034-021-00379-1
Pubmed ID
Authors

E. L. de Ruigh, S. Bouwmeester, A. Popma, R. R. J. M. Vermeiren, L. van Domburgh, L. M. C. Jansen

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 10%
Professor > Associate Professor 3 10%
Student > Ph. D. Student 3 10%
Unspecified 2 7%
Other 2 7%
Other 4 13%
Unknown 13 43%
Readers by discipline Count As %
Psychology 7 23%
Social Sciences 3 10%
Unspecified 2 7%
Medicine and Dentistry 2 7%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 August 2021.
All research outputs
#7,163,519
of 25,147,320 outputs
Outputs from Child and Adolescent Psychiatry and Mental Health
#386
of 769 outputs
Outputs of similar age
#141,768
of 436,834 outputs
Outputs of similar age from Child and Adolescent Psychiatry and Mental Health
#10
of 16 outputs
Altmetric has tracked 25,147,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 769 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 49th percentile – i.e., 49% 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 436,834 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 67% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.