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Analytical Design and Autotuning of Adaptive Flux-Weakening Voltage Regulation Loop in IPMSM Drives With Accurate Torque Regulation

Overview of attention for article published in IEEE Transactions on Industry Applications, September 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
23 Mendeley
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Article details
Title
Analytical Design and Autotuning of Adaptive Flux-Weakening Voltage Regulation Loop in IPMSM Drives With Accurate Torque Regulation
Published in
IEEE Transactions on Industry Applications, September 2019
DOI 10.1109/tia.2019.2942807
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Doctoral Student 3 13%
Student > Master 3 13%
Student > Bachelor 1 4%
Researcher 1 4%
Other 0 0%
Unknown 9 39%
Readers by discipline
Readers by discipline Count As %
Engineering 12 52%
Computer Science 1 4%
Unknown 10 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 July 2023.
All research outputs
#7,391,297
of 33,982,974 outputs
Outputs from IEEE Transactions on Industry Applications
#482
of 3,516 outputs
Outputs of similar age
#104,481
of 383,067 outputs
Outputs of similar age from IEEE Transactions on Industry Applications
#4
of 39 outputs
Altmetric has tracked 33,982,974 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,516 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 67% 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 383,067 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
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 done well, scoring higher than 82% of its contemporaries.