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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a submerged aquatic vegetation growth model in the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST v3.4) model
|
|---|---|
| Published in |
Geoscientific Model Development, November 2020
|
| DOI | 10.5194/gmd-13-5211-2020 |
| Authors |
Tarandeep S. Kalra, Neil K. Ganju, Jeremy M. Testa |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Master | 4 | 14% |
| Student > Bachelor | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 7 | 24% |
| Engineering | 3 | 10% |
| Environmental Science | 2 | 7% |
| Physics and Astronomy | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 13 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 May 2021.
All research outputs
#17,297,846
of 25,387,668 outputs
Outputs from Geoscientific Model Development
#1,290
of 2,044 outputs
Outputs of similar age
#278,022
of 440,859 outputs
Outputs of similar age from Geoscientific Model Development
#50
of 89 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,044 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 32nd percentile – i.e., 32% 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 440,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.