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A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping

Overview of attention for article published in Stochastic Environmental Research and Risk Assessment, October 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
4 Mendeley
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Title
A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping
Published in
Stochastic Environmental Research and Risk Assessment, October 2023
DOI 10.1007/s00477-023-02562-6
Authors

Seyed Vahid Razavi-Termeh, Javad Hatamiafkoueieh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi, Khalifa M. Al-Kindi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 %
Unspecified 3 75%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 3 75%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 November 2023.
All research outputs
#15,075,693
of 24,716,872 outputs
Outputs from Stochastic Environmental Research and Risk Assessment
#138
of 268 outputs
Outputs of similar age
#68,445
of 168,641 outputs
Outputs of similar age from Stochastic Environmental Research and Risk Assessment
#3
of 3 outputs
Altmetric has tracked 24,716,872 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 45th percentile – i.e., 45% 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 168,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.