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NOISE-MODULATED EMPIRICAL MODE DECOMPOSITION

Overview of attention for article published in Advances in Adaptive Data Analysis (AADA), November 2011
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Mentioned by

patent
1 patent

Readers on

mendeley
17 Mendeley
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Article details
Title
NOISE-MODULATED EMPIRICAL MODE DECOMPOSITION
Published in
Advances in Adaptive Data Analysis (AADA), November 2011
DOI 10.1142/s1793536910000410
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Taiwan 1 6%
India 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Master 2 12%
Professor > Associate Professor 2 12%
Student > Postgraduate 2 12%
Other 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline
Readers by discipline Count As %
Engineering 7 41%
Social Sciences 2 12%
Environmental Science 1 6%
Computer Science 1 6%
Sports and Recreations 1 6%
Other 2 12%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 June 2014.
All research outputs
#12,345,312
of 34,364,397 outputs
Outputs from Advances in Adaptive Data Analysis (AADA)
#10
of 25 outputs
Outputs of similar age
#98,929
of 300,291 outputs
Outputs of similar age from Advances in Adaptive Data Analysis (AADA)
#7
of 16 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25 research outputs from this source. They receive a mean Attention Score of 4.4. This one scored the same or higher as 15 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 300,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.