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FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens

Overview of attention for article published in Neural Computing and Applications, June 2017
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Mentioned by

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1 Google+ user

Citations

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24 Dimensions

Readers on

mendeley
23 Mendeley
Title
FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens
Published in
Neural Computing and Applications, June 2017
DOI 10.1007/s00521-017-3125-2
Authors

Ilias Bougoudis, Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis, Antonios Papaleonidas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 39%
Professor > Associate Professor 2 9%
Student > Master 2 9%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 6 26%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 11 48%
Engineering 3 13%
Environmental Science 2 9%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Other 2 9%
Unknown 3 13%
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 25 June 2017.
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
#200,771
of 317,712 outputs
Outputs of similar age from Neural Computing and Applications
#8
of 14 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 317,712 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 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.