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Data-Driven, Multi-Model Workflow Suggests Strong Influence from Hurricanes on the Generation of Turbidity Currents in the Gulf of Mexico

Overview of attention for article published in Journal of Marine Science and Engineering, August 2020
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1 tweeter
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1 Facebook page

Readers on

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1 Mendeley
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Title
Data-Driven, Multi-Model Workflow Suggests Strong Influence from Hurricanes on the Generation of Turbidity Currents in the Gulf of Mexico
Published in
Journal of Marine Science and Engineering, August 2020
DOI 10.3390/jmse8080586
Authors

Courtney Harris, Jaia Syvitski, H.G. Arango, E.H. Meiburg, Sagy Cohen, C.J. Jenkins, Justin Birchler, E.W.H. Hutton, T.A. Kniskern, S. Radhakrishnan, Guillermo Auad

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 16 September 2020.
All research outputs
#12,226,292
of 16,033,924 outputs
Outputs from Journal of Marine Science and Engineering
#345
of 677 outputs
Outputs of similar age
#205,406
of 302,241 outputs
Outputs of similar age from Journal of Marine Science and Engineering
#7
of 8 outputs
Altmetric has tracked 16,033,924 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 46th percentile – i.e., 46% 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 302,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.