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A Melody Generation System Based on Cognitive Biases in Causal Inference by Human

Overview of attention for article published in Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, January 2012
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Citations

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Title
A Melody Generation System Based on Cognitive Biases in Causal Inference by Human
Published in
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, January 2012
DOI 10.3156/jsoft.24.954
Authors

Hidefumi OHMURA, Takuro SHIBAYAMA, Tatsuji TAKAHASHI, Satoshi SHIBUYA, Kazuo OKANOYA, Kiyoshi FURUKAWA

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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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
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 05 July 2022.
All research outputs
#15,325,004
of 22,792,160 outputs
Outputs from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
#39
of 93 outputs
Outputs of similar age
#163,509
of 244,407 outputs
Outputs of similar age from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
#1
of 5 outputs
Altmetric has tracked 22,792,160 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 93 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 244,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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