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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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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
563 Dimensions

Readers on

mendeley
640 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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 640 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 630 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 18%
Student > Master 109 17%
Researcher 58 9%
Student > Bachelor 55 9%
Student > Doctoral Student 39 6%
Other 74 12%
Unknown 193 30%
Readers by discipline Count As %
Engineering 145 23%
Environmental Science 99 15%
Earth and Planetary Sciences 79 12%
Computer Science 30 5%
Social Sciences 22 3%
Other 54 8%
Unknown 211 33%
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
#7,540,093
of 23,002,898 outputs
Outputs from Journal of Hydrology
#1,203
of 7,953 outputs
Outputs of similar age
#71,671
of 214,306 outputs
Outputs of similar age from Journal of Hydrology
#7
of 22 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,953 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 72% 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 214,306 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.