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ELUQuant: event-level uncertainty quantification in deep inelastic scattering

Overview of attention for article published in Machine Learning: Science and Technology, January 2024
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Title
ELUQuant: event-level uncertainty quantification in deep inelastic scattering
Published in
Machine Learning: Science and Technology, January 2024
DOI 10.1088/2632-2153/ad2098
Authors

C Fanelli, J Giroux

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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 31 January 2024.
All research outputs
#20,558,567
of 25,263,619 outputs
Outputs from Machine Learning: Science and Technology
#472
of 497 outputs
Outputs of similar age
#103,729
of 151,505 outputs
Outputs of similar age from Machine Learning: Science and Technology
#17
of 20 outputs
Altmetric has tracked 25,263,619 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 497 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 151,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.