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Comparison of Test Methods for Characterization of High-Leakage Two-Winding Transformers

Overview of attention for article published in IEEE Transactions on Industry Applications, July 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 2,283)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Comparison of Test Methods for Characterization of High-Leakage Two-Winding Transformers
Published in
IEEE Transactions on Industry Applications, July 2009
DOI 10.1109/tia.2009.2027549
Authors

John G. Hayes, David Cashman, Michael G. Egan, Terence O'Donnell, Ningning Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 35%
Student > Master 4 15%
Student > Bachelor 2 8%
Researcher 2 8%
Student > Doctoral Student 1 4%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Engineering 16 62%
Mathematics 1 4%
Decision Sciences 1 4%
Physics and Astronomy 1 4%
Energy 1 4%
Other 1 4%
Unknown 5 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 January 2021.
All research outputs
#3,799,086
of 25,377,790 outputs
Outputs from IEEE Transactions on Industry Applications
#49
of 2,283 outputs
Outputs of similar age
#13,244
of 112,709 outputs
Outputs of similar age from IEEE Transactions on Industry Applications
#2
of 18 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,283 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 92% 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 112,709 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 85% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.