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Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study

Overview of attention for article published in BMC Health Services Research, December 2010
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Title
Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study
Published in
BMC Health Services Research, December 2010
DOI 10.1186/1472-6963-10-347
Pubmed ID
Authors

Stewart B Harris, Richard H Glazier, Jordan W Tompkins, Andrew S Wilton, Vijaya Chevendra, Moira A Stewart, Amardeep Thind

Abstract

Electronic medical records contain valuable clinical information not readily available elsewhere. Accordingly, they hold important potential for contributing to and enhancing chronic disease registries with the goal of improving chronic disease management; however a standard for diagnoses of conditions such as diabetes remains to be developed. The purpose of this study was to establish a validated electronic medical record definition for diabetes.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 3%
United States 2 2%
United Kingdom 2 2%
Australia 1 <1%
Ghana 1 <1%
Unknown 97 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Student > Master 14 13%
Student > Bachelor 11 10%
Researcher 9 8%
Other 9 8%
Other 28 26%
Unknown 10 9%
Readers by discipline Count As %
Medicine and Dentistry 47 44%
Computer Science 10 9%
Nursing and Health Professions 9 8%
Social Sciences 8 8%
Psychology 3 3%
Other 9 8%
Unknown 20 19%
Attention Score in Context

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 22 June 2014.
All research outputs
#15,302,068
of 22,757,541 outputs
Outputs from BMC Health Services Research
#5,547
of 7,617 outputs
Outputs of similar age
#141,493
of 181,795 outputs
Outputs of similar age from BMC Health Services Research
#20
of 31 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,617 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 181,795 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.