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Probabilistic Conversion of Functional Expressions for Characterization of Dialogue System Utterances

Overview of attention for article published in Transactions of the Japanese Society of Artificial Intelligence, January 2016
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2 X users

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5 Mendeley
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Title
Probabilistic Conversion of Functional Expressions for Characterization of Dialogue System Utterances
Published in
Transactions of the Japanese Society of Artificial Intelligence, January 2016
DOI 10.1527/tjsai.dsf-515
Authors

Chiaki Miyazaki, Toru Hirano, Ryuichiro Higashinaka, Toshiro Makino, Yoshihiro Matsuo, Satoshi Sato

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Researcher 1 20%
Student > Bachelor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Psychology 1 20%
Physics and Astronomy 1 20%
Unknown 1 20%
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 22 February 2020.
All research outputs
#16,046,765
of 25,371,288 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#111
of 227 outputs
Outputs of similar age
#218,250
of 399,662 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#10
of 19 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 45th percentile – i.e., 45% 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 399,662 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.