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Electronic Health Record-Based Patient Identification and Individualized Mailed Outreach for Primary Cardiovascular Disease Prevention: A Cluster Randomized Trial

Overview of attention for article published in Journal of General Internal Medicine, November 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
facebook
1 Facebook page

Citations

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34 Dimensions

Readers on

mendeley
142 Mendeley
citeulike
1 CiteULike
Title
Electronic Health Record-Based Patient Identification and Individualized Mailed Outreach for Primary Cardiovascular Disease Prevention: A Cluster Randomized Trial
Published in
Journal of General Internal Medicine, November 2012
DOI 10.1007/s11606-012-2268-1
Pubmed ID
Authors

Stephen D. Persell, Donald M. Lloyd-Jones, Elisha M. Friesema, Andrew J. Cooper, David W. Baker

Abstract

Many individuals at higher risk for cardiovascular disease (CVD) do not receive recommended treatments. Prior interventions using personalized risk information to promote prevention did not test clinic-wide effectiveness.

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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
United Kingdom 2 1%
Canada 2 1%
Switzerland 1 <1%
South Africa 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 129 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 18%
Researcher 23 16%
Student > Master 20 14%
Student > Bachelor 17 12%
Student > Doctoral Student 9 6%
Other 25 18%
Unknown 22 15%
Readers by discipline Count As %
Medicine and Dentistry 59 42%
Nursing and Health Professions 14 10%
Computer Science 9 6%
Social Sciences 8 6%
Psychology 5 4%
Other 19 13%
Unknown 28 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2016.
All research outputs
#7,468,080
of 24,558,777 outputs
Outputs from Journal of General Internal Medicine
#4,009
of 7,967 outputs
Outputs of similar age
#53,078
of 184,092 outputs
Outputs of similar age from Journal of General Internal Medicine
#27
of 57 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one is in the 49th percentile – i.e., 49% 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 184,092 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 57 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 54% of its contemporaries.