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Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, June 2019
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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9 Dimensions

Readers on

mendeley
20 Mendeley
Title
Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP
Published in
HEPAC Health Economics in Prevention and Care, June 2019
DOI 10.1007/s10198-019-01079-6
Pubmed ID
Authors

Danny Wende

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 15%
Student > Ph. D. Student 3 15%
Student > Bachelor 2 10%
Researcher 2 10%
Lecturer 1 5%
Other 2 10%
Unknown 7 35%
Readers by discipline Count As %
Economics, Econometrics and Finance 7 35%
Environmental Science 2 10%
Earth and Planetary Sciences 1 5%
Medicine and Dentistry 1 5%
Unknown 9 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 June 2019.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#1,039
of 1,303 outputs
Outputs of similar age
#280,632
of 368,316 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#21
of 35 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 7th percentile – i.e., 7% 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 368,316 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.