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Using a Bayesian Network to predict shore-line change vulnerability to sea-level rise for the coasts of the United States

Overview of attention for article published in this source
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1 tweeter

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36 Mendeley
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Title
Using a Bayesian Network to predict shore-line change vulnerability to sea-level rise for the coasts of the United States
DOI 10.3133/ofr20141083
Authors

Benjamin T. Gutierrez, Nathaniel G. Plant, Elizabeth A. Pendleton, E. Robert Thieler

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 33%
Student > Master 7 19%
Student > Bachelor 3 8%
Researcher 3 8%
Student > Doctoral Student 3 8%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Earth and Planetary Sciences 10 28%
Environmental Science 8 22%
Engineering 5 14%
Agricultural and Biological Sciences 3 8%
Unspecified 2 6%
Other 5 14%
Unknown 3 8%