| Title |
The roles of past behavior and health beliefs in predicting medication adherence to a statin regimen
|
|---|---|
| Published in |
Patient preference and adherence, September 2012
|
| DOI | 10.2147/ppa.s34711 |
| Pubmed ID | |
| Authors |
Todd D Molfenter, Abhik Bhattacharya, David H Gustafson |
| Abstract |
Current medication-adherence predictive tools are based on patient medication-taking beliefs, but studying past behavior may now be a more explanatory and accessible method. This study will evaluate if past medication-refill behavior for a statin regimen is more predictive of medication adherence than patient medication-taking health beliefs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Italy | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 71 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 22% |
| Student > Ph. D. Student | 12 | 16% |
| Researcher | 9 | 12% |
| Student > Bachelor | 7 | 9% |
| Other | 7 | 9% |
| Other | 13 | 18% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 31% |
| Psychology | 12 | 16% |
| Social Sciences | 9 | 12% |
| Computer Science | 5 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 15 | 20% |
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 10 September 2012.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Patient preference and adherence
#1,433
of 1,759 outputs
Outputs of similar age
#147,938
of 188,253 outputs
Outputs of similar age from Patient preference and adherence
#13
of 18 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. 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 188,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.