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複数のトピックの時間的依存関係を考慮した時系列混合モデル

Overview of attention for article published in Transactions of the Japanese Society of Artificial Intelligence, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
複数のトピックの時間的依存関係を考慮した時系列混合モデル
Published in
Transactions of the Japanese Society of Artificial Intelligence, January 2015
DOI 10.1527/tjsai.30.466
Authors

Kentaro Sasaki, Tomohiro Yoshikawa, Takeshi Furuhashi

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Student > Master 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Librarian 1 17%
Other 1 17%
Readers by discipline Count As %
Engineering 2 33%
Computer Science 2 33%
Medicine and Dentistry 1 17%
Unspecified 1 17%

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 18 May 2015.
All research outputs
#5,284,347
of 10,355,316 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#52
of 132 outputs
Outputs of similar age
#93,721
of 216,543 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#1
of 1 outputs
Altmetric has tracked 10,355,316 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 132 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 58% 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 216,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
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