↓ Skip to main content

Landslide Susceptibility Zoning Using C5.0 Decision Tree, Random Forest, Support Vector Machine and Comparison of Their Performance in a Coal Mine Area

Overview of attention for article published in Frontiers in Earth Science, December 2021
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Landslide Susceptibility Zoning Using C5.0 Decision Tree, Random Forest, Support Vector Machine and Comparison of Their Performance in a Coal Mine Area
Published in
Frontiers in Earth Science, December 2021
DOI 10.3389/feart.2021.781472
Authors

Qiaomei Su, Weiheng Tao, Shiguang Mei, Xiaoyuan Zhang, Kaixin Li, Xiaoye Su, Jianli Guo, Yonggang Yang

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 10%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 13 62%
Readers by discipline Count As %
Engineering 2 10%
Earth and Planetary Sciences 2 10%
Unspecified 1 5%
Environmental Science 1 5%
Unknown 15 71%
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 21 December 2021.
All research outputs
#20,215,721
of 22,738,543 outputs
Outputs from Frontiers in Earth Science
#2,977
of 4,466 outputs
Outputs of similar age
#407,170
of 498,741 outputs
Outputs of similar age from Frontiers in Earth Science
#216
of 405 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,466 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 498,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.