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鉄道運賃計算アルゴリズム : Suica/PASMO利用可能範囲のJR東日本510駅の運賃を対象とした場合

Overview of attention for article published in Transactions of the Operations Research Society of Japan, January 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

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4 X users

Readers on

mendeley
1 Mendeley
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Title
鉄道運賃計算アルゴリズム : Suica/PASMO利用可能範囲のJR東日本510駅の運賃を対象とした場合
Published in
Transactions of the Operations Research Society of Japan, January 2011
DOI 10.15807/torsj.54.1
Authors

森田 隼史, 池上 敦子, 菊地 丞, 山口 拓真, 中山 利宏, 大倉 元宏

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Engineering 1 100%
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 17 February 2023.
All research outputs
#7,791,488
of 25,282,542 outputs
Outputs from Transactions of the Operations Research Society of Japan
#2
of 14 outputs
Outputs of similar age
#54,884
of 193,357 outputs
Outputs of similar age from Transactions of the Operations Research Society of Japan
#1
of 1 outputs
Altmetric has tracked 25,282,542 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 14 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 12 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 193,357 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 71% of its contemporaries.
We're also able to compare this research output to 1 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