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確率分布間の距離推定 : 機械学習分野における最新動向(サーベイ,機械学習研究部会)

Overview of attention for article published in Transactions of the Japan Society for Industrial and Applied Mathematics, September 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

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5 X users

Readers on

mendeley
24 Mendeley
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Title
確率分布間の距離推定 : 機械学習分野における最新動向(サーベイ,機械学習研究部会)
Published in
Transactions of the Japan Society for Industrial and Applied Mathematics, September 2013
DOI 10.11540/jsiamt.23.3_439
Authors

杉山 将

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 13%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 21%
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Researcher 3 13%
Student > Doctoral Student 3 13%
Other 5 21%
Readers by discipline Count As %
Computer Science 15 63%
Engineering 6 25%
Business, Management and Accounting 1 4%
Economics, Econometrics and Finance 1 4%
Philosophy 1 4%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 October 2023.
All research outputs
#8,373,566
of 25,660,026 outputs
Outputs from Transactions of the Japan Society for Industrial and Applied Mathematics
#7
of 45 outputs
Outputs of similar age
#69,542
of 213,145 outputs
Outputs of similar age from Transactions of the Japan Society for Industrial and Applied Mathematics
#1
of 2 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 45 research outputs from this source. They receive a mean Attention Score of 2.6. This one scored the same or higher as 38 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 213,145 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 66% 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