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X Demographics
Mendeley readers
Attention Score in Context
| 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"). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Canada | 2 | 2% |
| South Africa | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 114 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 17% |
| Student > Ph. D. Student | 17 | 14% |
| Student > Master | 17 | 14% |
| Student > Doctoral Student | 11 | 9% |
| Other | 9 | 7% |
| Other | 29 | 24% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 35% |
| Social Sciences | 15 | 12% |
| Psychology | 9 | 7% |
| Economics, Econometrics and Finance | 4 | 3% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 15 | 12% |
| Unknown | 33 | 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 25 January 2012.
All research outputs
#20,154,661
of 22,662,201 outputs
Outputs from BMC Health Services Research
#7,048
of 7,573 outputs
Outputs of similar age
#222,663
of 246,023 outputs
Outputs of similar age from BMC Health Services Research
#63
of 71 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,573 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 246,023 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 71 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.