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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explaining regional variations in health care utilization between Swiss cantons using panel econometric models
|
|---|---|
| Published in |
BMC Health Services Research, March 2012
|
| DOI | 10.1186/1472-6963-12-62 |
| Pubmed ID | |
| Authors |
Paul A Camenzind |
| Abstract |
In spite of a detailed and nation-wide legislation frame, there exist large cantonal disparities in consumed quantities of health care services in Switzerland. In this study, the most important factors of influence causing these regional disparities are determined. The findings can also be productive for discussing the containment of health care consumption in other countries. |
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 % |
|---|---|---|
| United States | 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| United Kingdom | 1 | 1% |
| Unknown | 82 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Researcher | 12 | 14% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Bachelor | 12 | 14% |
| Other | 5 | 6% |
| Other | 15 | 18% |
| Unknown | 16 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 33% |
| Economics, Econometrics and Finance | 13 | 15% |
| Nursing and Health Professions | 9 | 11% |
| Business, Management and Accounting | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 23 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 October 2018.
All research outputs
#2,856,405
of 22,663,969 outputs
Outputs from BMC Health Services Research
#1,259
of 7,574 outputs
Outputs of similar age
#18,309
of 156,636 outputs
Outputs of similar age from BMC Health Services Research
#6
of 65 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,574 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 83% 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 156,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 65 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 90% of its contemporaries.