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異質性の動的変化を考慮した競合リスクモデルによる購買間隔のモデリング:複数チャネルにおける消費者購買行動の分析

Overview of attention for article published in Journal of the Japan Statistical Society, March 2023
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Title
異質性の動的変化を考慮した競合リスクモデルによる購買間隔のモデリング:複数チャネルにおける消費者購買行動の分析
Published in
Journal of the Japan Statistical Society, March 2023
DOI 10.11329/jjssj.52.269
Authors

猪狩 良介, 星野 崇宏

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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 10 May 2023.
All research outputs
#20,673,680
of 25,394,764 outputs
Outputs from Journal of the Japan Statistical Society
#114
of 170 outputs
Outputs of similar age
#315,816
of 422,430 outputs
Outputs of similar age from Journal of the Japan Statistical Society
#3
of 3 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 6th percentile – i.e., 6% 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 422,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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.