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A Secure Machine Learning-Based Optimal Routing in Ad Hoc Networks for Classifying and Predicting Vulnerabilities

Overview of attention for article published in Cybernetics and Systems, January 2023
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1 X user

Readers on

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13 Mendeley
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Title
A Secure Machine Learning-Based Optimal Routing in Ad Hoc Networks for Classifying and Predicting Vulnerabilities
Published in
Cybernetics and Systems, January 2023
DOI 10.1080/01969722.2023.2166241
Authors

Ajay Reddy Yeruva, Esraa Saleh Alomari, S. Rashmi, Anurag Shrivastava, M. Kathiravan, Abhay Chaturvedi

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Unspecified 1 8%
Lecturer 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 5 38%
Readers by discipline Count As %
Engineering 2 15%
Computer Science 2 15%
Chemical Engineering 1 8%
Business, Management and Accounting 1 8%
Materials Science 1 8%
Other 1 8%
Unknown 5 38%
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 21 January 2023.
All research outputs
#23,502,975
of 26,180,771 outputs
Outputs from Cybernetics and Systems
#84
of 94 outputs
Outputs of similar age
#416,685
of 484,446 outputs
Outputs of similar age from Cybernetics and Systems
#1
of 3 outputs
Altmetric has tracked 26,180,771 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 94 research outputs from this source. They receive a mean Attention Score of 3.7. 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 484,446 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them