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Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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Title
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
Published in
BMC Medical Informatics and Decision Making, February 2024
DOI 10.1186/s12911-024-02449-8
Pubmed ID
Authors

Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung

Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 March 2024.
All research outputs
#6,649,130
of 25,534,033 outputs
Outputs from BMC Medical Informatics and Decision Making
#583
of 2,148 outputs
Outputs of similar age
#72,805
of 294,375 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 14 outputs
Altmetric has tracked 25,534,033 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,148 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 72% 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 294,375 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 75% of its contemporaries.
We're also able to compare this research output to 14 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 99% of its contemporaries.