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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fully convolutional neural networks applied to large-scale marine morphology mapping
|
|---|---|
| Published in |
Frontiers in Marine Science, July 2023
|
| DOI | 10.3389/fmars.2023.1228867 |
| Authors |
Riccardo Arosio, Brandon Hobley, Andrew J. Wheeler, Fabio Sacchetti, Luis A. Conti, Thomas Furey, Aaron Lim |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| France | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 33% |
| Researcher | 2 | 33% |
| Other | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 3 | 50% |
| Environmental Science | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 1 | 17% |
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 20 July 2023.
All research outputs
#14,338,684
of 24,093,053 outputs
Outputs from Frontiers in Marine Science
#4,949
of 9,661 outputs
Outputs of similar age
#66,902
of 162,161 outputs
Outputs of similar age from Frontiers in Marine Science
#81
of 272 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,661 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 47th percentile – i.e., 47% 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 162,161 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 57% of its contemporaries.
We're also able to compare this research output to 272 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 66% of its contemporaries.