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Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems

Overview of attention for article published in Logic Journal of the IGPL, May 2024
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Title
Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems
Published in
Logic Journal of the IGPL, May 2024
DOI 10.1093/jigpal/jzae070
Authors

Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, José-Luis Casteleiro-Roca, Héctor Quintián, Óscar Fontenla-Romero, José Luis Calvo-Rolle

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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 20 May 2024.
All research outputs
#17,727,461
of 25,983,245 outputs
Outputs from Logic Journal of the IGPL
#94
of 231 outputs
Outputs of similar age
#95,495
of 186,964 outputs
Outputs of similar age from Logic Journal of the IGPL
#2
of 6 outputs
Altmetric has tracked 25,983,245 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 231 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 21st percentile – i.e., 21% 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 186,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.