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Commentary: Machine learning in clinical decision-making

Overview of attention for article published in Frontiers in Digital Health, July 2023
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1 X user

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12 Mendeley
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Title
Commentary: Machine learning in clinical decision-making
Published in
Frontiers in Digital Health, July 2023
DOI 10.3389/fdgth.2023.1214111
Pubmed ID
Authors

Amanda C. Filiberto, Daniel A. Donoho, Ira L. Leeds, Tyler J. Loftus

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

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.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 17%
Student > Master 1 8%
Unknown 9 75%
Readers by discipline Count As %
Computer Science 1 8%
Medicine and Dentistry 1 8%
Engineering 1 8%
Unknown 9 75%
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 31 July 2023.
All research outputs
#19,656,401
of 24,174,783 outputs
Outputs from Frontiers in Digital Health
#607
of 677 outputs
Outputs of similar age
#114,490
of 163,079 outputs
Outputs of similar age from Frontiers in Digital Health
#27
of 29 outputs
Altmetric has tracked 24,174,783 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 163,079 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.