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Characterizing the catastrophic 2017 Mud Creek landslide, California, using repeat structure-from-motion (SfM) photogrammetry

Overview of attention for article published in Landslides, March 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 564)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
twitter
9 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Characterizing the catastrophic 2017 Mud Creek landslide, California, using repeat structure-from-motion (SfM) photogrammetry
Published in
Landslides, March 2019
DOI 10.1007/s10346-019-01160-4
Authors

Jonathan A. Warrick, Andrew C. Ritchie, Kevin M. Schmidt, Mark E. Reid, Joshua Logan

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 9 16%
Student > Bachelor 4 7%
Student > Master 4 7%
Student > Doctoral Student 2 4%
Other 8 15%
Unknown 17 31%
Readers by discipline Count As %
Earth and Planetary Sciences 21 38%
Environmental Science 7 13%
Engineering 5 9%
Energy 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 18 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 13 June 2020.
All research outputs
#1,392,226
of 24,124,781 outputs
Outputs from Landslides
#19
of 564 outputs
Outputs of similar age
#32,993
of 355,985 outputs
Outputs of similar age from Landslides
#2
of 13 outputs
Altmetric has tracked 24,124,781 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 564 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 96% 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 355,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.