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Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: A simulation study

Overview of attention for article published in Biometrical Journal, May 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 671)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
72 X users

Readers on

mendeley
14 Mendeley
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Title
Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: A simulation study
Published in
Biometrical Journal, May 2023
DOI 10.1002/bimj.202200108
Pubmed ID
Authors

Anna Lohmann, Rolf H. H. Groenwold, Maarten van Smeden

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 72 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Other 1 7%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Medicine and Dentistry 2 14%
Decision Sciences 2 14%
Business, Management and Accounting 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Nursing and Health Professions 1 7%
Other 0 0%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 June 2023.
All research outputs
#1,007,154
of 26,608,834 outputs
Outputs from Biometrical Journal
#9
of 671 outputs
Outputs of similar age
#20,835
of 403,258 outputs
Outputs of similar age from Biometrical Journal
#1
of 12 outputs
Altmetric has tracked 26,608,834 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 671 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 403,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.