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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 The European Journal of Health Economics, June 2019
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Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Readers on

mendeley
2 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
The European Journal of Health Economics, June 2019
DOI 10.1007/s10198-019-01079-6
Authors

Danny Wende

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unspecified 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Economics, Econometrics and Finance 1 50%

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
#10,740,260
of 13,500,585 outputs
Outputs from The European Journal of Health Economics
#626
of 817 outputs
Outputs of similar age
#180,220
of 249,766 outputs
Outputs of similar age from The European Journal of Health Economics
#25
of 48 outputs
Altmetric has tracked 13,500,585 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 817 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 6th percentile – i.e., 6% 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 249,766 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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.