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深層展開に基づく信号処理アルゴリズムの設計

Overview of attention for article published in IEICE ESS Fundamentals Review, July 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
5 Mendeley
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Title
深層展開に基づく信号処理アルゴリズムの設計
Published in
IEICE ESS Fundamentals Review, July 2020
DOI 10.1587/essfr.14.1_60
Authors

和田山 正, 高邉 賢史

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 20%
Student > Bachelor 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Engineering 2 40%
Earth and Planetary Sciences 1 20%
Unknown 2 40%
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 06 August 2024.
All research outputs
#6,608,663
of 26,427,317 outputs
Outputs from IEICE ESS Fundamentals Review
#15
of 89 outputs
Outputs of similar age
#135,436
of 436,194 outputs
Outputs of similar age from IEICE ESS Fundamentals Review
#1
of 2 outputs
Altmetric has tracked 26,427,317 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 89 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 436,194 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 68% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them