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Anomalous process detection for Internet of Things based on K-Core

Overview of attention for article published in Frontiers in Physics, April 2024
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Anomalous process detection for Internet of Things based on K-Core
Published in
Frontiers in Physics, April 2024
DOI 10.3389/fphy.2024.1391266
Authors

Yue Chang, Teng Hu, Fang Lou, Tao Zeng, Mingyong Yin, Siqi Yang

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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 25 April 2024.
All research outputs
#17,587,039
of 25,784,004 outputs
Outputs from Frontiers in Physics
#983
of 4,534 outputs
Outputs of similar age
#76,228
of 151,546 outputs
Outputs of similar age from Frontiers in Physics
#6
of 41 outputs
Altmetric has tracked 25,784,004 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 4,534 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 75% of its peers.
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 151,546 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.