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人流における学習型誘導技術のデータ同化

Overview of attention for article published in Transactions of the Japanese Society of Artificial Intelligence, September 2019
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3 X users

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9 Mendeley
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Title
人流における学習型誘導技術のデータ同化
Published in
Transactions of the Japanese Society of Artificial Intelligence, September 2019
DOI 10.1527/tjsai.wd-f
Authors

松林 達史, 清武 寛, 幸島 匡宏, 戸田 浩之, 田中 悠介, 六藤 雄一, 塩原 寿子, 宮本 勝, 清水 仁, 大塚 琢馬, 岩田 具治, 澤田 宏, 納谷 太, 上田 修功

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Ph. D. Student 1 11%
Librarian 1 11%
Unknown 5 56%
Readers by discipline Count As %
Engineering 2 22%
Business, Management and Accounting 1 11%
Social Sciences 1 11%
Computer Science 1 11%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 December 2019.
All research outputs
#15,526,423
of 25,385,509 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#103
of 227 outputs
Outputs of similar age
#188,504
of 350,007 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#2
of 4 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 227 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 52% 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 350,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.