↓ Skip to main content

表層的特徴を用いたセンター試験『国語』評論読解問題の自動解法

Overview of attention for article published in Transactions of the Japanese Society of Artificial Intelligence, January 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
6 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
表層的特徴を用いたセンター試験『国語』評論読解問題の自動解法
Published in
Transactions of the Japanese Society of Artificial Intelligence, January 2017
DOI 10.1527/tjsai.c-g61
Authors

加納 隼人, 佐藤 理史, 松崎 拓也

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 3 50%
Engineering 1 17%
Unknown 2 33%
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 30 July 2017.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#214
of 227 outputs
Outputs of similar age
#362,483
of 421,539 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#18
of 20 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% 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 421,539 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.