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The Role of Patients’ Explanatory Models and Daily-Lived Experience in Hypertension Self-Management

Overview of attention for article published in Journal of General Internal Medicine, July 2012
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Title
The Role of Patients’ Explanatory Models and Daily-Lived Experience in Hypertension Self-Management
Published in
Journal of General Internal Medicine, July 2012
DOI 10.1007/s11606-012-2141-2
Pubmed ID
Authors

Barbara G. Bokhour, Ellen S. Cohn, Dharma E. Cortés, Jeffrey L. Solomon, Gemmae M. Fix, A. Rani Elwy, Nora Mueller, Lois A. Katz, Paul Haidet, Alexander R. Green, Ann M. Borzecki, Nancy R. Kressin

Abstract

Uncontrolled hypertension remains a significant problem for many patients. Few interventions to improve patients' hypertension self-management have had lasting effects. Previous work has focused largely on patients' beliefs as predictors of behavior, but little is understood about beliefs as they are embedded in patients' social contexts.

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The data shown below were collected from the profiles of 2 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Ghana 1 <1%
Unknown 166 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 22%
Student > Ph. D. Student 24 14%
Researcher 23 14%
Student > Bachelor 13 8%
Student > Doctoral Student 10 6%
Other 26 15%
Unknown 36 21%
Readers by discipline Count As %
Medicine and Dentistry 53 31%
Nursing and Health Professions 35 21%
Social Sciences 14 8%
Psychology 10 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 12 7%
Unknown 41 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 July 2012.
All research outputs
#18,756,367
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#6,408
of 7,806 outputs
Outputs of similar age
#122,684
of 165,069 outputs
Outputs of similar age from Journal of General Internal Medicine
#53
of 72 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 15th percentile – i.e., 15% 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 165,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.