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Modeling multiple‐criterion diagnoses by heterogeneous‐instance logistic regression

Overview of attention for article published in Statistics in Medicine, August 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 news outlet
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Title
Modeling multiple‐criterion diagnoses by heterogeneous‐instance logistic regression
Published in
Statistics in Medicine, August 2024
DOI 10.1002/sim.10202
Pubmed ID
Authors

Chun‐Hao Yang, Ming‐Han Li, Shu‐Fang Wen, Sheng‐Mao Chang

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 August 2024.
All research outputs
#5,136,472
of 26,554,122 outputs
Outputs from Statistics in Medicine
#583
of 4,189 outputs
Outputs of similar age
#26,372
of 139,839 outputs
Outputs of similar age from Statistics in Medicine
#2
of 20 outputs
Altmetric has tracked 26,554,122 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,189 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 139,839 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 20 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 90% of its contemporaries.