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情報の不確実性を考慮した救援物資の在庫輸送戦略の数理解析

Overview of attention for article published in Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), July 2021
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Title
情報の不確実性を考慮した救援物資の在庫輸送戦略の数理解析
Published in
Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), July 2021
DOI 10.2208/jscejipm.77.3_184
Authors

河瀬 理貴, 井料 隆雅, 浦田 淳司

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 %
Professor > Associate Professor 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 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 17 May 2023.
All research outputs
#17,682,612
of 25,922,020 outputs
Outputs from Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
#57
of 138 outputs
Outputs of similar age
#274,383
of 449,056 outputs
Outputs of similar age from Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
#2
of 3 outputs
Altmetric has tracked 25,922,020 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 138 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 12th percentile – i.e., 12% 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 449,056 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 3 others from the same source and published within six weeks on either side of this one.