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議論構造の可視化による論点の発見と理解

Overview of attention for article published in Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, January 2003
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Mentioned by

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2 X users

Citations

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13 Dimensions

Readers on

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10 Mendeley
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Title
議論構造の可視化による論点の発見と理解
Published in
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, January 2003
DOI 10.3156/jsoft.15.554
Authors

松村 真宏, 加藤 優, 大澤 幸生, 石塚 満

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Professor > Associate Professor 2 20%
Other 1 10%
Professor 1 10%
Student > Doctoral Student 1 10%
Other 2 20%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 3 30%
Business, Management and Accounting 2 20%
Social Sciences 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Engineering 1 10%
Other 0 0%
Unknown 1 10%
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 29 September 2022.
All research outputs
#13,829,604
of 23,435,471 outputs
Outputs from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
#31
of 95 outputs
Outputs of similar age
#108,478
of 130,960 outputs
Outputs of similar age from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
#1
of 1 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 2.5. This one has gotten more attention than average, scoring higher than 66% 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 130,960 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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