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Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients

Overview of attention for article published in Frontiers in Pharmacology, March 2024
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients
Published in
Frontiers in Pharmacology, March 2024
DOI 10.3389/fphar.2024.1352113
Pubmed ID
Authors

Guodong Li, Yubo Sun, Liping Zhu

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Attention Score in Context

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 01 May 2024.
All research outputs
#20,345,004
of 25,870,142 outputs
Outputs from Frontiers in Pharmacology
#8,555
of 20,036 outputs
Outputs of similar age
#205,556
of 324,322 outputs
Outputs of similar age from Frontiers in Pharmacology
#93
of 515 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,036 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 50% 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 324,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 515 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.