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潜在推移分析を用いたチェリーピッカーの特定と理解:ファッションECサイトへの段階推定法の応用

Overview of attention for article published in Kodo Keiryogaku (The Japanese Journal of Behaviormetrics), March 2020
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About this Attention Score

  • Among the highest-scoring outputs from this source (#28 of 113)
  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Readers on

mendeley
4 Mendeley
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Title
潜在推移分析を用いたチェリーピッカーの特定と理解:ファッションECサイトへの段階推定法の応用
Published in
Kodo Keiryogaku (The Japanese Journal of Behaviormetrics), March 2020
DOI 10.2333/jbhmk.46.73
Authors

野際 大介

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Business, Management and Accounting 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 July 2021.
All research outputs
#14,908,022
of 25,852,155 outputs
Outputs from Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
#28
of 113 outputs
Outputs of similar age
#197,111
of 398,110 outputs
Outputs of similar age from Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
#2
of 2 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 113 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 74% 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 398,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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.