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An Intelligent Transportation System to control air pollution and road traffic in cities integrating CEP and Colored Petri Nets

Overview of attention for article published in Neural Computing and Applications, November 2018
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1 X user

Citations

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43 Dimensions

Readers on

mendeley
47 Mendeley
Title
An Intelligent Transportation System to control air pollution and road traffic in cities integrating CEP and Colored Petri Nets
Published in
Neural Computing and Applications, November 2018
DOI 10.1007/s00521-018-3850-1
Authors

Gregorio Díaz, Hermenegilda Macià, Valentín Valero, Juan Boubeta-Puig, Fernando Cuartero

X Demographics

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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 11%
Lecturer 4 9%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Student > Master 4 9%
Other 6 13%
Unknown 20 43%
Readers by discipline Count As %
Computer Science 10 21%
Engineering 10 21%
Design 2 4%
Agricultural and Biological Sciences 1 2%
Environmental Science 1 2%
Other 1 2%
Unknown 22 47%
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 20 January 2020.
All research outputs
#16,061,913
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#496
of 2,407 outputs
Outputs of similar age
#218,765
of 346,905 outputs
Outputs of similar age from Neural Computing and Applications
#12
of 17 outputs
Altmetric has tracked 23,839,820 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 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. 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 346,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.