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A Dynamic Decomposition/Recomposition Framework for Documents based on Narrative Structure Model

Overview of attention for article published in Transactions of the Japanese Society of Artificial Intelligence, January 2006
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1 X user

Citations

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Title
A Dynamic Decomposition/Recomposition Framework for Documents based on Narrative Structure Model
Published in
Transactions of the Japanese Society of Artificial Intelligence, January 2006
DOI 10.1527/tjsai.21.428
Authors

Mina AKAISHI

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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 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%
Student > Bachelor 1 20%
Student > Doctoral Student 1 20%
Researcher 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Psychology 1 20%
Engineering 1 20%
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 19 June 2022.
All research outputs
#17,351,840
of 25,461,852 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#137
of 229 outputs
Outputs of similar age
#151,371
of 174,298 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#1
of 3 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 229 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 18th percentile – i.e., 18% 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 174,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% 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. This one has scored higher than all of them