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A model for assessing iceberg hazard

Overview of attention for article published in Natural Hazards, March 2018
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

mendeley
30 Mendeley
Title
A model for assessing iceberg hazard
Published in
Natural Hazards, March 2018
DOI 10.1007/s11069-018-3243-x
Authors

Grant R. Bigg, T. E. Cropper, Clare K. O’Neill, Alex K. Arnold, A. H. Fleming, R. Marsh, V. Ivchenko, Nicolas Fournier, Mike Osborne, Robin Stephens

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Other 4 13%
Researcher 4 13%
Student > Master 3 10%
Student > Bachelor 2 7%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Earth and Planetary Sciences 9 30%
Environmental Science 3 10%
Engineering 2 7%
Computer Science 2 7%
Agricultural and Biological Sciences 1 3%
Other 2 7%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2018.
All research outputs
#20,468,008
of 23,026,672 outputs
Outputs from Natural Hazards
#1,686
of 1,832 outputs
Outputs of similar age
#293,072
of 331,402 outputs
Outputs of similar age from Natural Hazards
#47
of 48 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,832 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 1st percentile – i.e., 1% 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 331,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.