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Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs

Overview of attention for article published in Continental Shelf Research, August 2022
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
10 Mendeley
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Title
Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs
Published in
Continental Shelf Research, August 2022
DOI 10.1016/j.csr.2022.104799
Authors

Phillipe Wernette, Ian M. Miller, Andrew W. Ritchie, Jonathan A. Warrick

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 60%
Lecturer 1 10%
Other 1 10%
Professor 1 10%
Researcher 1 10%
Other 0 0%
Readers by discipline Count As %
Earth and Planetary Sciences 7 70%
Environmental Science 1 10%
Engineering 1 10%
Unknown 1 10%

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 11 July 2022.
All research outputs
#19,380,939
of 21,775,893 outputs
Outputs from Continental Shelf Research
#1,495
of 1,972 outputs
Outputs of similar age
#235,046
of 292,353 outputs
Outputs of similar age from Continental Shelf Research
#13
of 48 outputs
Altmetric has tracked 21,775,893 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 1,972 research outputs from this source. They receive a mean Attention Score of 2.3. 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 292,353 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.