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語意類似度を用いた指示代名詞の照応解析システムAnasysD

Overview of attention for article published in Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, October 2019
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Title
語意類似度を用いた指示代名詞の照応解析システムAnasysD
Published in
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, October 2019
DOI 10.3156/jsoft.31.5_797
Authors

西念 星宝, 谷津 元樹, 原田 実

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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 17 December 2019.
All research outputs
#15,592,673
of 23,182,015 outputs
Outputs from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
#40
of 95 outputs
Outputs of similar age
#217,868
of 354,209 outputs
Outputs of similar age from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
#2
of 3 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 95 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 20th percentile – i.e., 20% 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 354,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.