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Detection and Assessment of a Large and Potentially Tsunamigenic Periglacial Landslide in Barry Arm, Alaska

Overview of attention for article published in Geophysical Research Letters, November 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
14 news outlets
blogs
5 blogs
twitter
11 X users
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Detection and Assessment of a Large and Potentially Tsunamigenic Periglacial Landslide in Barry Arm, Alaska
Published in
Geophysical Research Letters, November 2020
DOI 10.1029/2020gl089800
Pubmed ID
Authors

Chunli Dai, Bretwood Higman, Patrick J. Lynett, Mylène Jacquemart, Ian M. Howat, Anna K. Liljedahl, Anja Dufresne, Jeffrey T. Freymueller, Marten Geertsema, Melissa Ward Jones, Peter J. Haeussler

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Ph. D. Student 8 14%
Student > Master 7 12%
Student > Bachelor 4 7%
Other 3 5%
Other 8 14%
Unknown 17 29%
Readers by discipline Count As %
Earth and Planetary Sciences 27 46%
Environmental Science 4 7%
Engineering 3 5%
Social Sciences 2 3%
Physics and Astronomy 1 2%
Other 3 5%
Unknown 19 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 139. 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 02 November 2022.
All research outputs
#288,456
of 24,943,708 outputs
Outputs from Geophysical Research Letters
#698
of 21,024 outputs
Outputs of similar age
#8,097
of 425,809 outputs
Outputs of similar age from Geophysical Research Letters
#12
of 284 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. 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 425,809 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 98% of its contemporaries.
We're also able to compare this research output to 284 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 96% of its contemporaries.