| Title |
Simulating vegetation effects on flows in 3D using an unstructured grid model: model development and validation
|
|---|---|
| Published in |
Ocean Dynamics, December 2019
|
| DOI | 10.1007/s10236-019-01333-8 |
| Authors |
Yinglong J. Zhang, Nathan Gerdts, Eli Ateljevich, Kijin Nam |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Doctoral Student | 3 | 18% |
| Researcher | 3 | 18% |
| Lecturer | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 3 | 18% |
| Environmental Science | 2 | 12% |
| Engineering | 2 | 12% |
| Computer Science | 1 | 6% |
| Chemical Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 47% |
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 17 December 2019.
All research outputs
#20,595,624
of 23,182,015 outputs
Outputs from Ocean Dynamics
#355
of 965 outputs
Outputs of similar age
#359,756
of 430,755 outputs
Outputs of similar age from Ocean Dynamics
#13
of 39 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 965 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% 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 430,755 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.