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A Novel Method to Water Level Prediction using RBF and FFA

Overview of attention for article published in Water Resources Management, May 2016
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Mentioned by

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1 Facebook page

Citations

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49 Dimensions

Readers on

mendeley
47 Mendeley
Title
A Novel Method to Water Level Prediction using RBF and FFA
Published in
Water Resources Management, May 2016
DOI 10.1007/s11269-016-1347-1
Authors

Seyed Ahmad Soleymani, Shidrokh Goudarzi, Mohammad Hossein Anisi, Wan Haslina Hassan, Mohd Yamani Idna Idris, Shahaboddin Shamshirband, Noorzaily Mohamed Noor, Ismail Ahmedy

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 %
Student > Ph. D. Student 7 15%
Lecturer 5 11%
Researcher 4 9%
Student > Master 4 9%
Student > Bachelor 3 6%
Other 11 23%
Unknown 13 28%
Readers by discipline Count As %
Engineering 15 32%
Computer Science 5 11%
Environmental Science 3 6%
Mathematics 3 6%
Earth and Planetary Sciences 2 4%
Other 3 6%
Unknown 16 34%
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 10 May 2016.
All research outputs
#20,325,615
of 22,869,263 outputs
Outputs from Water Resources Management
#525
of 616 outputs
Outputs of similar age
#254,001
of 299,677 outputs
Outputs of similar age from Water Resources Management
#15
of 35 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 616 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% 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 299,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.