| Title |
Modelling drug-related morbidity in Sweden using an expert panel of physicians
|
|---|---|
| Published in |
European Journal of Clinical Pharmacology, March 2012
|
| DOI | 10.1007/s00228-012-1244-3 |
| Pubmed ID | |
| Authors |
Katja M. Hakkarainen, Daniel Alström, Staffan Hägg, Anders Carlsten, Hanna Gyllensten |
| Abstract |
In modelling studies using pharmacists' opinions, drug-related morbidity (DRM) and preventable DRM have been more common than in observational studies, and the resulting costs are extensive. Modelling studies' estimates may vary depending on informants' profession. The purpose of this modelling study was to estimate the proportion of patients with DRM and preventable DRM and the cost of illness (COI) of DRM in Sweden based on physicians' expert opinions. |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 24% |
| Student > Postgraduate | 3 | 14% |
| Researcher | 2 | 10% |
| Professor | 2 | 10% |
| Other | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 52% |
| Computer Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Psychology | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 November 2013.
All research outputs
#7,122,990
of 24,744,050 outputs
Outputs from European Journal of Clinical Pharmacology
#801
of 2,694 outputs
Outputs of similar age
#44,366
of 160,246 outputs
Outputs of similar age from European Journal of Clinical Pharmacology
#10
of 30 outputs
Altmetric has tracked 24,744,050 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,694 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 69% 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 160,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 30 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 66% of its contemporaries.