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Patient engagement as a risk factor in personalized health care: a systematic review of the literature on chronic disease

Overview of attention for article published in Genome Medicine, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

policy
1 policy source
twitter
7 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
334 Mendeley
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Title
Patient engagement as a risk factor in personalized health care: a systematic review of the literature on chronic disease
Published in
Genome Medicine, January 2014
DOI 10.1186/gm533
Pubmed ID
Authors

Leigh Simmons, Ruth Q Wolever, Elizabeth M Bechard, Ralph Snyderman

Abstract

The role of patient engagement as an important risk factor for healthcare outcomes has not been well established. The objective of this article was to systematically review the relationship between patient engagement and health outcomes in chronic disease to determine whether patient engagement should be quantified as an important risk factor in health risk appraisals to enhance the practice of personalized medicine.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
United States 3 <1%
Switzerland 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 324 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 67 20%
Student > Ph. D. Student 56 17%
Researcher 50 15%
Other 25 7%
Student > Doctoral Student 18 5%
Other 81 24%
Unknown 37 11%
Readers by discipline Count As %
Medicine and Dentistry 91 27%
Nursing and Health Professions 51 15%
Social Sciences 32 10%
Psychology 22 7%
Agricultural and Biological Sciences 11 3%
Other 68 20%
Unknown 59 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 June 2021.
All research outputs
#3,818,698
of 21,347,791 outputs
Outputs from Genome Medicine
#766
of 1,357 outputs
Outputs of similar age
#37,494
of 200,662 outputs
Outputs of similar age from Genome Medicine
#2
of 2 outputs
Altmetric has tracked 21,347,791 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,357 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one is in the 43rd percentile – i.e., 43% 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 200,662 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 81% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.