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Measuring data reliability for preventive services in electronic medical records

Overview of attention for article published in BMC Health Services Research, May 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

policy
1 policy source
twitter
3 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
139 Mendeley
Title
Measuring data reliability for preventive services in electronic medical records
Published in
BMC Health Services Research, May 2012
DOI 10.1186/1472-6963-12-116
Pubmed ID
Authors

Michelle Greiver, Jan Barnsley, Richard H Glazier, Bart J Harvey, Rahim Moineddin

Abstract

Improvements in the quality of health care services are often measured using data present in medical records. Electronic Medical Records (EMRs) contain potentially valuable new sources of health data. However, data quality in EMRs may not be optimal and should be assessed. Data reliability (are the same data elements being measured over time?) is a prerequisite for data validity (are the data accurate?). Our objective was to measure the reliability of data for preventive services in primary care EMRs during the transition to EMR.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 1 <1%
Pakistan 1 <1%
France 1 <1%
Unknown 132 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 24%
Student > Ph. D. Student 25 18%
Researcher 22 16%
Student > Doctoral Student 14 10%
Student > Postgraduate 14 10%
Other 22 16%
Unknown 9 6%
Readers by discipline Count As %
Medicine and Dentistry 49 35%
Computer Science 17 12%
Social Sciences 14 10%
Nursing and Health Professions 12 9%
Psychology 8 6%
Other 25 18%
Unknown 14 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 June 2019.
All research outputs
#3,934,433
of 15,184,339 outputs
Outputs from BMC Health Services Research
#1,852
of 5,214 outputs
Outputs of similar age
#30,302
of 126,701 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 15,184,339 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 5,214 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 126,701 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them