↓ Skip to main content

深層学習による「幻の源氏物語絵巻」の流派推定に関する考察 ‐AI 技術による「絵師の流派」概念の再構築-

Overview of attention for article published in Transactions of the Japanese Society of Artificial Intelligence, November 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 228)
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
11 X users

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
深層学習による「幻の源氏物語絵巻」の流派推定に関する考察 ‐AI 技術による「絵師の流派」概念の再構築-
Published in
Transactions of the Japanese Society of Artificial Intelligence, November 2021
DOI 10.1527/tjsai.36-6_f-l12
Authors

稲本 万里子, 加藤 拓也, 小長谷 明彦

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 June 2022.
All research outputs
#4,328,125
of 25,852,155 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#19
of 228 outputs
Outputs of similar age
#89,454
of 446,300 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#1
of 2 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 91% 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 446,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
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. This one has scored higher than all of them