| Title |
Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study
|
|---|---|
| Published in |
BMC Medical Research Methodology, August 2012
|
| DOI | 10.1186/1471-2288-12-128 |
| Pubmed ID | |
| Authors |
William V Bobo, William O Cooper, C Michael Stein, Mark Olfson, Jackie Mounsey, James Daugherty, Wayne A Ray |
| Abstract |
We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 30% |
| Researcher | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Other | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Other | 9 | 19% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 34% |
| Social Sciences | 5 | 11% |
| Nursing and Health Professions | 5 | 11% |
| Agricultural and Biological Sciences | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 9 | 19% |
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 August 2012.
All research outputs
#18,313,878
of 22,675,759 outputs
Outputs from BMC Medical Research Methodology
#1,726
of 2,000 outputs
Outputs of similar age
#129,751
of 169,376 outputs
Outputs of similar age from BMC Medical Research Methodology
#24
of 30 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 6th percentile – i.e., 6% 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 169,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.