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A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping

Overview of attention for article published in International Journal of Geographical Information Science, September 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
4 Mendeley
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Title
A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping
Published in
International Journal of Geographical Information Science, September 2020
DOI 10.1080/13658816.2020.1808897
Authors

Zhice Fang, Yi Wang, Ling Peng, Haoyuan Hong

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Environmental Science 1 25%
Agricultural and Biological Sciences 1 25%
Earth and Planetary Sciences 1 25%
Unknown 1 25%

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 17 September 2020.
All research outputs
#10,226,983
of 16,036,325 outputs
Outputs from International Journal of Geographical Information Science
#350
of 521 outputs
Outputs of similar age
#137,768
of 236,809 outputs
Outputs of similar age from International Journal of Geographical Information Science
#7
of 9 outputs
Altmetric has tracked 16,036,325 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 521 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 16th percentile – i.e., 16% 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 236,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.