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Assessing the importance of sediment characterization on seabed embedment predictions of cylindrical objects

Overview of attention for article published in Applied Ocean Research, July 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
2 Mendeley
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Title
Assessing the importance of sediment characterization on seabed embedment predictions of cylindrical objects
Published in
Applied Ocean Research, July 2024
DOI 10.1016/j.apor.2024.103948
Authors

Saurav Shrestha, Nina Stark, Brendan Green, Dan Stilwell, Mingyu Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Environmental Science 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 May 2024.
All research outputs
#15,830,558
of 25,838,141 outputs
Outputs from Applied Ocean Research
#119
of 424 outputs
Outputs of similar age
#3,027
of 6,840 outputs
Outputs of similar age from Applied Ocean Research
#1
of 3 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 424 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 70% 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 6,840 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them