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Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2024
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Title
Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence
Published in
Frontiers in Molecular Biosciences, September 2024
DOI 10.3389/fmolb.2024.1429281
Pubmed ID
Authors

Juan José Oropeza-Valdez, Cristian Padron-Manrique, Aarón Vázquez-Jiménez, Xavier Soberon, Osbaldo Resendis-Antonio

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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 24 September 2024.
All research outputs
#21,520,347
of 26,485,222 outputs
Outputs from Frontiers in Molecular Biosciences
#2,610
of 4,862 outputs
Outputs of similar age
#111,577
of 173,356 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#18
of 45 outputs
Altmetric has tracked 26,485,222 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 4,862 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 28th percentile – i.e., 28% 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 173,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.