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Lyapunov-Based Economic Model Predictive Control for Detecting and Handling Actuator and Simultaneous Sensor/Actuator Cyberattacks on Process Control Systems

Overview of attention for article published in Frontiers in Chemical Engineering, April 2022
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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3 X users

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mendeley
1 Mendeley
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Title
Lyapunov-Based Economic Model Predictive Control for Detecting and Handling Actuator and Simultaneous Sensor/Actuator Cyberattacks on Process Control Systems
Published in
Frontiers in Chemical Engineering, April 2022
DOI 10.3389/fceng.2022.810129
Authors

Henrique Oyama, Dominic Messina, Keshav Kasturi Rangan, Helen Durand

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Student > Postgraduate 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Psychology 1 100%
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 01 April 2022.
All research outputs
#15,798,439
of 23,466,057 outputs
Outputs from Frontiers in Chemical Engineering
#86
of 271 outputs
Outputs of similar age
#252,884
of 443,494 outputs
Outputs of similar age from Frontiers in Chemical Engineering
#15
of 39 outputs
Altmetric has tracked 23,466,057 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 271 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 63% 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 443,494 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.