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Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

Overview of attention for article published in Journal of Hydrology, November 2013
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Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
710 Mendeley
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Title
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
Published in
Journal of Hydrology, November 2013
DOI 10.1016/j.jhydrol.2013.09.034
Authors

Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 710 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 3 <1%
Australia 2 <1%
South Africa 2 <1%
United States 2 <1%
Iran, Islamic Republic of 1 <1%
Unknown 700 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 118 17%
Student > Master 113 16%
Researcher 65 9%
Student > Bachelor 57 8%
Student > Doctoral Student 40 6%
Other 81 11%
Unknown 236 33%
Readers by discipline Count As %
Engineering 156 22%
Environmental Science 104 15%
Earth and Planetary Sciences 85 12%
Computer Science 31 4%
Social Sciences 24 3%
Other 57 8%
Unknown 253 36%
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 24 May 2020.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Journal of Hydrology
#1,405
of 8,695 outputs
Outputs of similar age
#76,842
of 226,632 outputs
Outputs of similar age from Journal of Hydrology
#8
of 25 outputs
Altmetric has tracked 25,371,288 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 8,695 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 71% 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 226,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.