| Title |
Primary Medication Non-Adherence: Analysis of 195,930 Electronic Prescriptions
|
|---|---|
| Published in |
Journal of General Internal Medicine, February 2010
|
| DOI | 10.1007/s11606-010-1253-9 |
| Pubmed ID | |
| Authors |
Michael A. Fischer, Margaret R. Stedman, Joyce Lii, Christine Vogeli, William H. Shrank, M. Alan Brookhart, Joel S. Weissman |
| Abstract |
Non-adherence to essential medications represents an important public health problem. Little is known about the frequency with which patients fail to fill prescriptions when new medications are started ("primary non-adherence") or predictors of failure to fill. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 521 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| Brazil | 3 | <1% |
| Ethiopia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 506 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 17% |
| Student > Master | 80 | 15% |
| Researcher | 78 | 15% |
| Student > Postgraduate | 42 | 8% |
| Student > Bachelor | 41 | 8% |
| Other | 110 | 21% |
| Unknown | 84 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 183 | 35% |
| Pharmacology, Toxicology and Pharmaceutical Science | 59 | 11% |
| Nursing and Health Professions | 36 | 7% |
| Psychology | 32 | 6% |
| Social Sciences | 23 | 4% |
| Other | 89 | 17% |
| Unknown | 99 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 464. 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 July 2023.
All research outputs
#54,432
of 24,372,222 outputs
Outputs from Journal of General Internal Medicine
#54
of 7,905 outputs
Outputs of similar age
#120
of 172,837 outputs
Outputs of similar age from Journal of General Internal Medicine
#1
of 44 outputs
Altmetric has tracked 24,372,222 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,905 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done particularly well, scoring higher than 99% 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 172,837 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.