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Improving Flood Forecasting in a Developing Country: A Comparative Study of Stepwise Multiple Linear Regression and Artificial Neural Network

Overview of attention for article published in Water Resources Management, April 2014
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Mentioned by

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1 Facebook page

Citations

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68 Dimensions

Readers on

mendeley
75 Mendeley
Title
Improving Flood Forecasting in a Developing Country: A Comparative Study of Stepwise Multiple Linear Regression and Artificial Neural Network
Published in
Water Resources Management, April 2014
DOI 10.1007/s11269-014-0600-8
Authors

Zaw Zaw Latt, Hartmut Wittenberg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Student > Master 11 15%
Lecturer 9 12%
Student > Doctoral Student 6 8%
Student > Bachelor 5 7%
Other 12 16%
Unknown 18 24%
Readers by discipline Count As %
Engineering 26 35%
Computer Science 6 8%
Environmental Science 5 7%
Earth and Planetary Sciences 3 4%
Business, Management and Accounting 2 3%
Other 4 5%
Unknown 29 39%
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 05 October 2014.
All research outputs
#20,238,443
of 22,765,347 outputs
Outputs from Water Resources Management
#524
of 615 outputs
Outputs of similar age
#193,229
of 226,790 outputs
Outputs of similar age from Water Resources Management
#13
of 14 outputs
Altmetric has tracked 22,765,347 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 615 research outputs from this source. They receive a mean Attention Score of 4.0. 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 226,790 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 14 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.