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Validation of key behaviourally based mental health diagnoses in administrative data: suicide attempt, alcohol abuse, illicit drug abuse and tobacco use

Overview of attention for article published in BMC Health Services Research, January 2012
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1 tweeter

Citations

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134 Dimensions

Readers on

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110 Mendeley
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Title
Validation of key behaviourally based mental health diagnoses in administrative data: suicide attempt, alcohol abuse, illicit drug abuse and tobacco use
Published in
BMC Health Services Research, January 2012
DOI 10.1186/1472-6963-12-18
Pubmed ID
Authors

Hyungjin Myra Kim, Eric G Smith, Claire M Stano, Dara Ganoczy, Kara Zivin, Heather Walters, Marcia Valenstein

Abstract

Observational research frequently uses administrative codes for mental health or substance use diagnoses and for important behaviours such as suicide attempts. We sought to validate codes (International Classification of Diseases, 9th edition, clinical modification diagnostic and E-codes) entered in Veterans Health Administration administrative data for patients with depression versus a gold standard of electronic medical record text ("chart notation").

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Canada 2 2%
South Africa 1 <1%
Australia 1 <1%
Unknown 103 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 17%
Student > Ph. D. Student 17 15%
Student > Master 15 14%
Student > Doctoral Student 11 10%
Other 9 8%
Other 28 25%
Unknown 11 10%
Readers by discipline Count As %
Medicine and Dentistry 41 37%
Social Sciences 16 15%
Psychology 8 7%
Economics, Econometrics and Finance 4 4%
Computer Science 3 3%
Other 12 11%
Unknown 26 24%

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 25 January 2012.
All research outputs
#2,905,814
of 3,627,694 outputs
Outputs from BMC Health Services Research
#1,494
of 1,752 outputs
Outputs of similar age
#168,506
of 232,204 outputs
Outputs of similar age from BMC Health Services Research
#67
of 73 outputs
Altmetric has tracked 3,627,694 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,752 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 232,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.