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Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models

Overview of attention for article published in Natural Hazards, November 2013
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Title
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
Published in
Natural Hazards, November 2013
DOI 10.1007/s11069-013-0932-3
Authors

Vahid Nourani, Biswajeet Pradhan, Hamid Ghaffari, Seyed Saber Sharifi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 2%
Iran, Islamic Republic of 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 18%
Student > Ph. D. Student 18 16%
Researcher 16 14%
Student > Doctoral Student 8 7%
Student > Bachelor 7 6%
Other 14 13%
Unknown 28 25%
Readers by discipline Count As %
Engineering 25 23%
Earth and Planetary Sciences 22 20%
Environmental Science 10 9%
Agricultural and Biological Sciences 4 4%
Computer Science 3 3%
Other 8 7%
Unknown 39 35%