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Characterization of analog and digital control loops for bidirectional buck–boost converter using PID/PIDN algorithms

Overview of attention for article published in Journal of Electrical Systems and Information Technology, April 2020
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1 X user

Citations

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4 Dimensions

Readers on

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9 Mendeley
Title
Characterization of analog and digital control loops for bidirectional buck–boost converter using PID/PIDN algorithms
Published in
Journal of Electrical Systems and Information Technology, April 2020
DOI 10.1186/s43067-020-00015-6
Authors

V. Viswanatha, R. Venkata Siva Reddy, Rajeswari

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 22%
Student > Ph. D. Student 2 22%
Student > Master 1 11%
Professor > Associate Professor 1 11%
Lecturer 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Engineering 4 44%
Computer Science 1 11%
Energy 1 11%
Physics and Astronomy 1 11%
Unknown 2 22%
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 2020.
All research outputs
#15,609,465
of 23,208,901 outputs
Outputs from Journal of Electrical Systems and Information Technology
#16
of 32 outputs
Outputs of similar age
#233,500
of 375,288 outputs
Outputs of similar age from Journal of Electrical Systems and Information Technology
#1
of 1 outputs
Altmetric has tracked 23,208,901 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 32 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 16 of them.
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 375,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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