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GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

Overview of attention for article published in Environmental Earth Sciences, July 2016
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  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 X user

Citations

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264 Dimensions

Readers on

mendeley
197 Mendeley
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Title
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
Published in
Environmental Earth Sciences, July 2016
DOI 10.1007/s12665-016-5919-4
Authors

Dieu Tien Bui, Tien-Chung Ho, Biswajeet Pradhan, Binh-Thai Pham, Viet-Ha Nhu, Inge Revhaug

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 <1%
Unknown 196 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 16%
Student > Master 28 14%
Student > Bachelor 16 8%
Researcher 15 8%
Student > Doctoral Student 14 7%
Other 28 14%
Unknown 64 32%
Readers by discipline Count As %
Engineering 41 21%
Earth and Planetary Sciences 28 14%
Computer Science 22 11%
Environmental Science 13 7%
Social Sciences 6 3%
Other 13 7%
Unknown 74 38%
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 June 2017.
All research outputs
#18,552,700
of 22,977,819 outputs
Outputs from Environmental Earth Sciences
#742
of 1,782 outputs
Outputs of similar age
#281,387
of 364,718 outputs
Outputs of similar age from Environmental Earth Sciences
#37
of 126 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,782 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 50% 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 364,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.