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Psychometric properties of the self-report version of the Quick Inventory of Depressive Symptoms (QIDS-SR16) questionnaire in patients with schizophrenia

Overview of attention for article published in BMC Psychiatry, September 2014
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Mentioned by

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2 tweeters
facebook
1 Facebook page

Citations

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10 Dimensions

Readers on

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30 Mendeley
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Title
Psychometric properties of the self-report version of the Quick Inventory of Depressive Symptoms (QIDS-SR16) questionnaire in patients with schizophrenia
Published in
BMC Psychiatry, September 2014
DOI 10.1186/s12888-014-0247-2
Pubmed ID
Authors

Irene M Lako, Johanna TW Wigman, Rianne MC Klaassen, Cees J Slooff, Katja Taxis, Agna A Bartels-Velthuis

Abstract

Self-report instruments for the assessment of depressive symptoms in patients with psychotic disorders are scarce. The Quick Inventory of Depressive Symptoms (QIDS-SR16) may be a useful self-report instrument, but has received little attention in this field. This paper aimed to test the psychometric properties of the QIDS-SR16 questionnaire in patients with a psychotic disorder.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 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 5 17%
Researcher 4 13%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 10%
Other 6 20%
Unknown 4 13%
Readers by discipline Count As %
Psychology 7 23%
Medicine and Dentistry 5 17%
Neuroscience 2 7%
Social Sciences 2 7%
Unspecified 1 3%
Other 5 17%
Unknown 8 27%

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 05 September 2015.
All research outputs
#11,093,506
of 14,591,133 outputs
Outputs from BMC Psychiatry
#2,521
of 3,276 outputs
Outputs of similar age
#123,989
of 199,626 outputs
Outputs of similar age from BMC Psychiatry
#1
of 2 outputs
Altmetric has tracked 14,591,133 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 18th percentile – i.e., 18% 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 199,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them