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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of machine learning applications to coastal sediment transport and morphodynamics
|
|---|---|
| Published in |
Earth-Science Reviews, July 2019
|
| DOI | 10.1016/j.earscirev.2019.04.022 |
| Authors |
Evan B. Goldstein, Giovanni Coco, Nathaniel G. Plant |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 29% |
| Australia | 1 | 6% |
| Netherlands | 1 | 6% |
| United Kingdom | 1 | 6% |
| Nepal | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Scientists | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 292 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 66 | 23% |
| Researcher | 43 | 15% |
| Student > Master | 34 | 12% |
| Student > Doctoral Student | 18 | 6% |
| Student > Bachelor | 11 | 4% |
| Other | 36 | 12% |
| Unknown | 84 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 62 | 21% |
| Earth and Planetary Sciences | 56 | 19% |
| Environmental Science | 32 | 11% |
| Computer Science | 7 | 2% |
| Agricultural and Biological Sciences | 6 | 2% |
| Other | 19 | 7% |
| Unknown | 110 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 June 2022.
All research outputs
#1,395,071
of 25,385,509 outputs
Outputs from Earth-Science Reviews
#212
of 1,809 outputs
Outputs of similar age
#29,881
of 363,724 outputs
Outputs of similar age from Earth-Science Reviews
#4
of 34 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 88% 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 363,724 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.