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Resilience-aware MLOps for AI-based medical diagnostic system

Overview of attention for article published in Frontiers in Public Health, March 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Resilience-aware MLOps for AI-based medical diagnostic system
Published in
Frontiers in Public Health, March 2024
DOI 10.3389/fpubh.2024.1342937
Pubmed ID
Authors

Viacheslav Moskalenko, Vyacheslav Kharchenko

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 33%
Student > Ph. D. Student 2 33%
Unknown 2 33%
Readers by discipline Count As %
Unspecified 2 33%
Computer Science 1 17%
Engineering 1 17%
Unknown 2 33%
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 27 March 2024.
All research outputs
#21,337,274
of 26,189,645 outputs
Outputs from Frontiers in Public Health
#8,304
of 14,627 outputs
Outputs of similar age
#237,986
of 345,197 outputs
Outputs of similar age from Frontiers in Public Health
#231
of 542 outputs
Altmetric has tracked 26,189,645 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 14,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 29th percentile – i.e., 29% 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 345,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 542 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.