↓ Skip to main content

Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System

Overview of attention for article published in Journal of Computational Physics, March 2008
Altmetric Badge

Mentioned by

policy
1 policy source

Citations

dimensions_citation
1052 Dimensions

Readers on

mendeley
495 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System
Published in
Journal of Computational Physics, March 2008
DOI 10.1016/j.jcp.2007.06.016
Authors

D.B. Haidvogel, H. Arango, W.P. Budgell, B.D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W.R. Geyer, A.J. Hermann, L. Lanerolle, J. Levin, J.C. McWilliams, A.J. Miller, A.M. Moore, T.M. Powell, A.F. Shchepetkin, C.R. Sherwood, R.P. Signell, J.C. Warner, J. Wilkin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 495 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Brazil 3 <1%
Netherlands 2 <1%
Italy 2 <1%
Canada 2 <1%
Malaysia 1 <1%
France 1 <1%
Germany 1 <1%
Qatar 1 <1%
Other 5 1%
Unknown 468 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 25%
Researcher 107 22%
Student > Master 51 10%
Student > Doctoral Student 35 7%
Student > Bachelor 26 5%
Other 76 15%
Unknown 77 16%
Readers by discipline Count As %
Earth and Planetary Sciences 183 37%
Environmental Science 82 17%
Engineering 50 10%
Agricultural and Biological Sciences 40 8%
Physics and Astronomy 13 3%
Other 24 5%
Unknown 103 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 April 2016.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Journal of Computational Physics
#575
of 5,814 outputs
Outputs of similar age
#35,023
of 97,793 outputs
Outputs of similar age from Journal of Computational Physics
#8
of 18 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,814 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 80% 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 97,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.