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Detection of Cliff Top Erosion Drivers through Machine Learning Algorithms between Portonovo and Trave Cliffs (Ancona, Italy)

Overview of attention for article published in Remote Sensing, July 2024
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Detection of Cliff Top Erosion Drivers through Machine Learning Algorithms between Portonovo and Trave Cliffs (Ancona, Italy)
Published in
Remote Sensing, July 2024
DOI 10.3390/rs16142604
Authors

Nicola Fullin, Michele Fraccaroli, Mirko Francioni, Stefano Fabbri, Angelo Ballaera, Paolo Ciavola, Monica Ghirotti

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 July 2024.
All research outputs
#15,129,237
of 26,362,953 outputs
Outputs from Remote Sensing
#4,852
of 14,278 outputs
Outputs of similar age
#51,331
of 153,545 outputs
Outputs of similar age from Remote Sensing
#19
of 55 outputs
Altmetric has tracked 26,362,953 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,278 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 65% 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 153,545 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 65% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.