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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Blind testing of shoreline evolution models
|
|---|---|
| Published in |
Scientific Reports, February 2020
|
| DOI | 10.1038/s41598-020-59018-y |
| Pubmed ID | |
| Authors |
Jennifer Montaño, Giovanni Coco, Jose A. A. Antolínez, Tomas Beuzen, Karin R. Bryan, Laura Cagigal, Bruno Castelle, Mark A. Davidson, Evan B. Goldstein, Raimundo Ibaceta, Déborah Idier, Bonnie C. Ludka, Sina Masoud-Ansari, Fernando J. Méndez, A. Brad Murray, Nathaniel G. Plant, Katherine M. Ratliff, Arthur Robinet, Ana Rueda, Nadia Sénéchal, Joshua A. Simmons, Kristen D. Splinter, Scott Stephens, Ian Townend, Sean Vitousek, Kilian Vos |
X Demographics
The data shown below were collected from the profiles of 32 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 | 6 | 19% |
| Colombia | 3 | 9% |
| New Zealand | 3 | 9% |
| Spain | 2 | 6% |
| United Kingdom | 1 | 3% |
| Indonesia | 1 | 3% |
| Netherlands | 1 | 3% |
| Unknown | 15 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 56% |
| Scientists | 14 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 25% |
| Researcher | 24 | 16% |
| Student > Master | 10 | 7% |
| Student > Bachelor | 8 | 5% |
| Student > Doctoral Student | 7 | 5% |
| Other | 23 | 16% |
| Unknown | 39 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 43 | 29% |
| Earth and Planetary Sciences | 34 | 23% |
| Environmental Science | 14 | 9% |
| Agricultural and Biological Sciences | 2 | 1% |
| Chemistry | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 48 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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
#1,058,720
of 24,803,011 outputs
Outputs from Scientific Reports
#10,782
of 135,685 outputs
Outputs of similar age
#26,277
of 461,761 outputs
Outputs of similar age from Scientific Reports
#340
of 4,120 outputs
Altmetric has tracked 24,803,011 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 135,685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 92% 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 461,761 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 94% of its contemporaries.
We're also able to compare this research output to 4,120 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.