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Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods

Overview of attention for article published in Natural Hazards, November 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
111 Mendeley
Title
Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
Published in
Natural Hazards, November 2018
DOI 10.1007/s11069-018-3536-0
Authors

Haoyuan Hong, Himan Shahabi, Ataollah Shirzadi, Wei Chen, Kamran Chapi, Baharin Bin Ahmad, Majid Shadman Roodposhti, Arastoo Yari Hesar, Yingying Tian, Dieu Tien Bui

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 %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 16%
Student > Ph. D. Student 12 11%
Student > Master 11 10%
Student > Bachelor 9 8%
Student > Doctoral Student 6 5%
Other 17 15%
Unknown 38 34%
Readers by discipline Count As %
Earth and Planetary Sciences 19 17%
Environmental Science 15 14%
Engineering 13 12%
Computer Science 6 5%
Agricultural and Biological Sciences 4 4%
Other 12 11%
Unknown 42 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 November 2018.
All research outputs
#3,332,054
of 23,116,036 outputs
Outputs from Natural Hazards
#383
of 1,840 outputs
Outputs of similar age
#77,552
of 437,538 outputs
Outputs of similar age from Natural Hazards
#18
of 24 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,840 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 437,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.