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The 2015 landslide and tsunami in Taan Fiord, Alaska

Overview of attention for article published in Scientific Reports, September 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
66 news outlets
blogs
17 blogs
policy
1 policy source
twitter
309 X users
facebook
6 Facebook pages
wikipedia
8 Wikipedia pages

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
119 Mendeley
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Title
The 2015 landslide and tsunami in Taan Fiord, Alaska
Published in
Scientific Reports, September 2018
DOI 10.1038/s41598-018-30475-w
Pubmed ID
Authors

Bretwood Higman, Dan H. Shugar, Colin P. Stark, Göran Ekström, Michele N. Koppes, Patrick Lynett, Anja Dufresne, Peter J. Haeussler, Marten Geertsema, Sean Gulick, Andrew Mattox, Jeremy G. Venditti, Maureen A. L. Walton, Naoma McCall, Erin Mckittrick, Breanyn MacInnes, Eric L. Bilderback, Hui Tang, Michael J. Willis, Bruce Richmond, Robert S. Reece, Chris Larsen, Bjorn Olson, James Capra, Aykut Ayca, Colin Bloom, Haley Williams, Doug Bonno, Robert Weiss, Adam Keen, Vassilios Skanavis, Michael Loso

Abstract

Glacial retreat in recent decades has exposed unstable slopes and allowed deep water to extend beneath some of those slopes. Slope failure at the terminus of Tyndall Glacier on 17 October 2015 sent 180 million tons of rock into Taan Fiord, Alaska. The resulting tsunami reached elevations as high as 193 m, one of the highest tsunami runups ever documented worldwide. Precursory deformation began decades before failure, and the event left a distinct sedimentary record, showing that geologic evidence can help understand past occurrences of similar events, and might provide forewarning. The event was detected within hours through automated seismological techniques, which also estimated the mass and direction of the slide - all of which were later confirmed by remote sensing. Our field observations provide a benchmark for modeling landslide and tsunami hazards. Inverse and forward modeling can provide the framework of a detailed understanding of the geologic and hazards implications of similar events. Our results call attention to an indirect effect of climate change that is increasing the frequency and magnitude of natural hazards near glaciated mountains.

X Demographics

X Demographics

The data shown below were collected from the profiles of 309 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 21 18%
Professor > Associate Professor 10 8%
Student > Bachelor 7 6%
Student > Master 7 6%
Other 16 13%
Unknown 30 25%
Readers by discipline Count As %
Earth and Planetary Sciences 51 43%
Environmental Science 8 7%
Engineering 8 7%
Agricultural and Biological Sciences 2 2%
Computer Science 2 2%
Other 6 5%
Unknown 42 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 800. 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 22 April 2024.
All research outputs
#24,134
of 25,789,020 outputs
Outputs from Scientific Reports
#381
of 143,030 outputs
Outputs of similar age
#450
of 346,769 outputs
Outputs of similar age from Scientific Reports
#8
of 3,540 outputs
Altmetric has tracked 25,789,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 143,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 99% 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 346,769 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 99% of its contemporaries.
We're also able to compare this research output to 3,540 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 99% of its contemporaries.