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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, February 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 (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

policy
1 policy source
twitter
7 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
387 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, February 2014
DOI 10.1186/gm533
Pubmed ID
Authors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 387 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 3 <1%
Switzerland 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 378 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 70 18%
Student > Ph. D. Student 58 15%
Researcher 55 14%
Other 27 7%
Student > Doctoral Student 20 5%
Other 97 25%
Unknown 60 16%
Readers by discipline Count As %
Medicine and Dentistry 93 24%
Nursing and Health Professions 58 15%
Social Sciences 32 8%
Psychology 25 6%
Agricultural and Biological Sciences 12 3%
Other 81 21%
Unknown 86 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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
#3,471,459
of 25,837,817 outputs
Outputs from Genome Medicine
#751
of 1,611 outputs
Outputs of similar age
#33,366
of 237,934 outputs
Outputs of similar age from Genome Medicine
#11
of 23 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 53% 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 237,934 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 85% of its contemporaries.
We're also able to compare this research output to 23 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 52% of its contemporaries.