| Title |
Duloxetine treatment adherence across mental health and chronic pain conditions
|
|---|---|
| Published in |
ClinicoEconomics and Outcomes Research: CEOR, February 2014
|
| DOI | 10.2147/ceor.s52950 |
| Pubmed ID | |
| Authors |
Stephen L Able, Zhanglin Cui, Wei Shen |
| Abstract |
This study applied a uniform methodology for measuring and comparing duloxetine adherence in the treatment of multiple chronic medical conditions. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Unknown | 83 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 32 | 38% |
| Student > Postgraduate | 11 | 13% |
| Student > Master | 8 | 9% |
| Student > Ph. D. Student | 7 | 8% |
| Researcher | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 54% |
| Social Sciences | 6 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Psychology | 3 | 4% |
| Nursing and Health Professions | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 15 | 18% |
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 07 March 2014.
All research outputs
#16,188,873
of 25,584,565 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#298
of 514 outputs
Outputs of similar age
#188,030
of 323,682 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#7
of 12 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 40th percentile – i.e., 40% 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 323,682 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.