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Pop-Traffic: a Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction

Overview of attention for article published in IEEE Transactions on Intelligent Transportation Systems, June 2006
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Mentioned by

patent
2 patents

Citations

dimensions_citation
163 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
1 CiteULike
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Title
Pop-Traffic: a Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction
Published in
IEEE Transactions on Intelligent Transportation Systems, June 2006
DOI 10.1109/tits.2006.874712
Authors

Chai Quek, Michel Pasquier, Bernard Boon Seng Lim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Czechia 1 2%
Mexico 1 2%
China 1 2%
Spain 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Student > Master 7 11%
Student > Bachelor 5 8%
Researcher 5 8%
Student > Doctoral Student 4 6%
Other 12 19%
Unknown 13 21%
Readers by discipline Count As %
Computer Science 25 40%
Engineering 17 27%
Arts and Humanities 1 2%
Agricultural and Biological Sciences 1 2%
Mathematics 1 2%
Other 2 3%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 April 2023.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Intelligent Transportation Systems
#530
of 1,616 outputs
Outputs of similar age
#29,560
of 86,562 outputs
Outputs of similar age from IEEE Transactions on Intelligent Transportation Systems
#4
of 9 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,616 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 29th percentile – i.e., 29% 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 86,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.