You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
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. |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 20% |
Student > Ph. D. Student | 5 | 13% |
Researcher | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Student > Bachelor | 3 | 8% |
Other | 7 | 18% |
Unknown | 10 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 18% |
Psychology | 7 | 18% |
Neuroscience | 3 | 8% |
Social Sciences | 2 | 5% |
Computer Science | 1 | 3% |
Other | 5 | 13% |
Unknown | 15 | 38% |
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
#18,616,159
of 23,881,329 outputs
Outputs from BMC Psychiatry
#3,895
of 4,939 outputs
Outputs of similar age
#163,152
of 240,212 outputs
Outputs of similar age from BMC Psychiatry
#62
of 78 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 16th percentile – i.e., 16% 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 240,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.