↓ Skip to main content

Dove Medical Press

Article Metrics

Structural equation modeling of the proximal–distal continuum of adherence drivers

Overview of attention for article published in Patient preference and adherence, November 2012
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
164 Mendeley
citeulike
1 CiteULike
Title
Structural equation modeling of the proximal–distal continuum of adherence drivers
Published in
Patient preference and adherence, November 2012
DOI 10.2147/ppa.s36535
Pubmed ID
Authors

Colleen McHorney, Zhang, Stump, Zhao

Abstract

Nonadherence to prescription medications has been shown to be significantly influenced by three key medication-specific beliefs: patients' perceived need for the prescribed medication, their concerns about the prescribed medication, and perceived medication affordability. Structural equation modeling was used to test the predictors of these three proximal determinants of medication adherence using the proximal-distal continuum of adherence drivers as the organizing conceptual framework.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Italy 1 <1%
France 1 <1%
Switzerland 1 <1%
Unknown 160 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 17%
Student > Ph. D. Student 25 15%
Researcher 23 14%
Student > Bachelor 12 7%
Student > Postgraduate 10 6%
Other 35 21%
Unknown 31 19%
Readers by discipline Count As %
Medicine and Dentistry 38 23%
Psychology 25 15%
Social Sciences 18 11%
Nursing and Health Professions 13 8%
Pharmacology, Toxicology and Pharmaceutical Science 12 7%
Other 21 13%
Unknown 37 23%

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 02 May 2013.
All research outputs
#10,020,682
of 12,522,829 outputs
Outputs from Patient preference and adherence
#870
of 1,052 outputs
Outputs of similar age
#101,045
of 145,771 outputs
Outputs of similar age from Patient preference and adherence
#18
of 22 outputs
Altmetric has tracked 12,522,829 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,052 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 6th percentile – i.e., 6% 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 145,771 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.