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Screening for depressed mood in an adolescent psychiatric context by brief self-assessment scales – testing psychometric validity of WHO-5 and BDI-6 indices by latent trait analyses

Overview of attention for article published in Health and Quality of Life Outcomes, December 2012
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2 X users

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Title
Screening for depressed mood in an adolescent psychiatric context by brief self-assessment scales – testing psychometric validity of WHO-5 and BDI-6 indices by latent trait analyses
Published in
Health and Quality of Life Outcomes, December 2012
DOI 10.1186/1477-7525-10-149
Pubmed ID
Authors

Eva Henje Blom, Per Bech, Göran Högberg, Jan Olov Larsson, Eva Serlachius

Abstract

Major depressive disorder is prevalent in the adolescent psychiatric clinical setting and often comorbid with other primary psychiatric diagnoses such as ADHD or social anxiety disorder. Systematic manual-based diagnostic procedures are recommended to identify such comorbidity but they are time-consuming and often not fully implemented in clinical practice. Screening for depressive symptoms in the child psychiatric context using brief, user-friendly and easily managed self-assessment scales may be of clinical value and utility. The aim of the study is to test the psychometric validity of two such scales, which may be used in a two-step screening procedure, the WHO-Five Well-being Index (WHO-5) and the six-item version of Beck's Depression Inventory (BDI-6).

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The data shown below were collected from the profiles of 2 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Unknown 104 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 18%
Student > Ph. D. Student 18 17%
Researcher 16 15%
Student > Bachelor 8 8%
Professor > Associate Professor 6 6%
Other 17 16%
Unknown 21 20%
Readers by discipline Count As %
Psychology 27 26%
Medicine and Dentistry 24 23%
Social Sciences 7 7%
Nursing and Health Professions 5 5%
Sports and Recreations 4 4%
Other 11 10%
Unknown 27 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 December 2012.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Health and Quality of Life Outcomes
#1,449
of 2,297 outputs
Outputs of similar age
#191,580
of 286,218 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#19
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 29th percentile – i.e., 29% 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 286,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.