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計量文体学を用いた喜劇性と悲劇性の抽出

Overview of attention for article published in Joho Chishiki Gakkaishi, June 2020
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About this Attention Score

  • Among the highest-scoring outputs from this source (#32 of 161)
  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 X user
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2 Wikipedia pages
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Title
計量文体学を用いた喜劇性と悲劇性の抽出
Published in
Joho Chishiki Gakkaishi, June 2020
DOI 10.2964/jsik_2020_030
Authors

白鳥 孝幸, 村井 源

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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 07 November 2022.
All research outputs
#7,530,450
of 25,852,155 outputs
Outputs from Joho Chishiki Gakkaishi
#32
of 161 outputs
Outputs of similar age
#160,986
of 435,489 outputs
Outputs of similar age from Joho Chishiki Gakkaishi
#1
of 5 outputs
Altmetric has tracked 25,852,155 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 161 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 435,489 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 62% of its contemporaries.
We're also able to compare this research output to 5 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