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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optical wave gauging using deep neural networks
|
|---|---|
| Published in |
Coastal Engineering, January 2020
|
| DOI | 10.1016/j.coastaleng.2019.103593 |
| Authors |
Daniel Buscombe, Roxanne J. Carini, Shawn R. Harrison, C. Chris Chickadel, Jonathan A. Warrick |
X Demographics
The data shown below were collected from the profiles of 20 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 | 3 | 15% |
| United Kingdom | 2 | 10% |
| Australia | 2 | 10% |
| Spain | 1 | 5% |
| Canada | 1 | 5% |
| Greece | 1 | 5% |
| Italy | 1 | 5% |
| Mexico | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 6 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
| Unknown | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Lecturer | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 12 | 23% |
| Engineering | 9 | 17% |
| Computer Science | 5 | 10% |
| Environmental Science | 3 | 6% |
| Psychology | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 17 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 08 November 2022.
All research outputs
#3,256,070
of 25,387,668 outputs
Outputs from Coastal Engineering
#49
of 701 outputs
Outputs of similar age
#75,358
of 473,316 outputs
Outputs of similar age from Coastal Engineering
#1
of 3 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 701 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 473,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% 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