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Building a landslide hazard indicator with machine learning and land surface models

Overview of attention for article published in Environmental Modelling & Software, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
98 Mendeley
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Title
Building a landslide hazard indicator with machine learning and land surface models
Published in
Environmental Modelling & Software, July 2020
DOI 10.1016/j.envsoft.2020.104692
Authors

T.A. Stanley, D.B. Kirschbaum, S. Sobieszczyk, M.F. Jasinski, J.S. Borak, S.L. Slaughter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 13%
Student > Ph. D. Student 12 12%
Student > Master 10 10%
Student > Doctoral Student 4 4%
Student > Bachelor 4 4%
Other 10 10%
Unknown 45 46%
Readers by discipline Count As %
Earth and Planetary Sciences 15 15%
Engineering 7 7%
Computer Science 6 6%
Environmental Science 5 5%
Mathematics 2 2%
Other 8 8%
Unknown 55 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 January 2023.
All research outputs
#4,839,027
of 25,387,668 outputs
Outputs from Environmental Modelling & Software
#286
of 1,539 outputs
Outputs of similar age
#116,973
of 432,368 outputs
Outputs of similar age from Environmental Modelling & Software
#5
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,539 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 80% 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 432,368 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 71% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.