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Effect of Problem-Solving-Based Diabetes Self-Management Training on Diabetes Control in a Low Income Patient Sample

Overview of attention for article published in Journal of General Internal Medicine, March 2011
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2 X users
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1 Facebook page

Citations

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94 Dimensions

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187 Mendeley
Title
Effect of Problem-Solving-Based Diabetes Self-Management Training on Diabetes Control in a Low Income Patient Sample
Published in
Journal of General Internal Medicine, March 2011
DOI 10.1007/s11606-011-1689-6
Pubmed ID
Authors

Felicia Hill-Briggs, Mariana Lazo, Mark Peyrot, Angela Doswell, Yi-Ting Chang, Martha N. Hill, David Levine, Nae-Yuh Wang, Frederick L. Brancati

Abstract

Lower socioeconomic status is associated with excess disease burden from diabetes. Diabetes self-management support interventions are needed that are effective in engaging lower income patients, addressing competing life priorities and barriers to self-care, and facilitating behavior change.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Brazil 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Denmark 1 <1%
Unknown 182 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 19%
Student > Ph. D. Student 24 13%
Researcher 20 11%
Student > Bachelor 14 7%
Student > Doctoral Student 13 7%
Other 34 18%
Unknown 47 25%
Readers by discipline Count As %
Medicine and Dentistry 46 25%
Nursing and Health Professions 28 15%
Social Sciences 21 11%
Psychology 17 9%
Agricultural and Biological Sciences 4 2%
Other 20 11%
Unknown 51 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 November 2011.
All research outputs
#15,687,152
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#5,824
of 7,806 outputs
Outputs of similar age
#86,685
of 111,616 outputs
Outputs of similar age from Journal of General Internal Medicine
#36
of 45 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 22nd percentile – i.e., 22% 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 111,616 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.