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EU health systems classification: a new proposal from EURO-HEALTHY

Overview of attention for article published in BMC Health Services Research, July 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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7 X users

Citations

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22 Dimensions

Readers on

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77 Mendeley
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Title
EU health systems classification: a new proposal from EURO-HEALTHY
Published in
BMC Health Services Research, July 2018
DOI 10.1186/s12913-018-3323-3
Pubmed ID
Authors

Pedro Lopes Ferreira, Aida Isabel Tavares, Carlota Quintal, Paula Santana

Abstract

In accordance the WHO framework of health system functions and by using the indicators collected within the EURO-HEALTHY project, this work aims to contribute to the discussion on the classification of EU health systems. Three methods were used in this article: factor analysis, cluster analysis and descriptive analysis; data were mainly collected from the WHO and Eurostat databases. The most relevant result is the proposed classification of health systems into the following clusters: Austria-Germany, Central and Northern Countries, Southern Countries, Eastern Countries 'A' and Eastern Countries 'B'. The proposed typology contributes to the discussion about how to classify health systems; the typology of EU health systems allows comparisons of characteristics and health system performance across clusters and policy assessment and policy recommendation within each cluster.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Bachelor 9 12%
Student > Master 8 10%
Researcher 8 10%
Lecturer 5 6%
Other 15 19%
Unknown 17 22%
Readers by discipline Count As %
Medicine and Dentistry 10 13%
Social Sciences 10 13%
Economics, Econometrics and Finance 10 13%
Nursing and Health Professions 7 9%
Business, Management and Accounting 3 4%
Other 11 14%
Unknown 26 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 September 2018.
All research outputs
#6,394,228
of 23,711,673 outputs
Outputs from BMC Health Services Research
#2,966
of 7,921 outputs
Outputs of similar age
#107,942
of 329,014 outputs
Outputs of similar age from BMC Health Services Research
#123
of 218 outputs
Altmetric has tracked 23,711,673 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,921 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 62% 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 329,014 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 67% of its contemporaries.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.