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Berthil cepstrum: a novel vibration analysis method based on marginal Hilbert spectrum applied to artificial motor aging

Overview of attention for article published in Electrical Engineering, May 2017
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

mendeley
8 Mendeley
Title
Berthil cepstrum: a novel vibration analysis method based on marginal Hilbert spectrum applied to artificial motor aging
Published in
Electrical Engineering, May 2017
DOI 10.1007/s00202-017-0566-7
Authors

Harun Šiljak, Abdulhamit Subasi

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Student > Ph. D. Student 2 25%
Lecturer 1 13%
Student > Doctoral Student 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 1 13%
Physics and Astronomy 1 13%
Engineering 1 13%
Unknown 5 63%
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 16 May 2017.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from Electrical Engineering
#160
of 173 outputs
Outputs of similar age
#276,337
of 315,927 outputs
Outputs of similar age from Electrical Engineering
#3
of 3 outputs
Altmetric has tracked 23,881,329 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 173 research outputs from this source. They receive a mean Attention Score of 3.2. 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 315,927 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.