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Variable-Speed Induction Machine Performance Computed Using Finite-Element

Overview of attention for article published in IEEE Transactions on Industry Applications, January 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
34 Mendeley
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Article details
Title
Variable-Speed Induction Machine Performance Computed Using Finite-Element
Published in
IEEE Transactions on Industry Applications, January 2011
DOI 10.1109/tia.2010.2103914
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 34 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 %
Italy 1 3%
Iran, Islamic Republic of 1 3%
India 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 9 26%
Other 3 9%
Student > Doctoral Student 2 6%
Researcher 2 6%
Other 2 6%
Unknown 6 18%
Readers by discipline
Readers by discipline Count As %
Engineering 27 79%
Energy 1 3%
Unknown 6 18%
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 14 April 2026.
All research outputs
#7,013,678
of 32,542,958 outputs
Outputs from IEEE Transactions on Industry Applications
#436
of 3,285 outputs
Outputs of similar age
#44,188
of 244,493 outputs
Outputs of similar age from IEEE Transactions on Industry Applications
#4
of 12 outputs
Altmetric has tracked 32,542,958 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,285 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 244,493 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 12 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 58% of its contemporaries.