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Improving risk adjustment with machine learning: accounting for service-level propensity scores to reduce service-level selection

Overview of attention for article published in Health Services and Outcomes Research Methodology, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
12 Mendeley
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Article details
Title
Improving risk adjustment with machine learning: accounting for service-level propensity scores to reduce service-level selection
Published in
Health Services and Outcomes Research Methodology, January 2021
DOI 10.1007/s10742-020-00239-z
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 2 17%
Student > Bachelor 1 8%
Researcher 1 8%
Lecturer > Senior Lecturer 1 8%
Unknown 7 58%
Readers by discipline
Readers by discipline Count As %
Computer Science 2 17%
Nursing and Health Professions 1 8%
Medicine and Dentistry 1 8%
Unknown 8 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 January 2021.
All research outputs
#13,428,001
of 23,857,313 outputs
Outputs from Health Services and Outcomes Research Methodology
#52
of 118 outputs
Outputs of similar age
#223,649
of 506,997 outputs
Outputs of similar age from Health Services and Outcomes Research Methodology
#1
of 4 outputs
Altmetric has tracked 23,857,313 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 55% 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 506,997 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 55% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them