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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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

policy
1 policy source
twitter
3 tweeters

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
122 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 122 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 115 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 24%
Student > Ph. D. Student 22 18%
Researcher 21 17%
Student > Doctoral Student 13 11%
Student > Postgraduate 12 10%
Other 18 15%
Unknown 7 6%
Readers by discipline Count As %
Medicine and Dentistry 47 39%
Social Sciences 15 12%
Computer Science 13 11%
Nursing and Health Professions 8 7%
Psychology 6 5%
Other 21 17%
Unknown 12 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 28 October 2014.
All research outputs
#2,978,537
of 12,372,945 outputs
Outputs from BMC Health Services Research
#1,366
of 4,083 outputs
Outputs of similar age
#25,973
of 119,063 outputs
Outputs of similar age from BMC Health Services Research
#10
of 29 outputs
Altmetric has tracked 12,372,945 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 66% 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 119,063 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 78% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.