| Title |
Lagrangian dynamical geography of the Gulf of Mexico
|
|---|---|
| Published in |
Scientific Reports, August 2017
|
| DOI | 10.1038/s41598-017-07177-w |
| Pubmed ID | |
| Authors |
P. Miron, F. J. Beron-Vera, M. J. Olascoaga, J. Sheinbaum, P. Pérez-Brunius, G. Froyland |
| Abstract |
We construct a Markov-chain representation of the surface-ocean Lagrangian dynamics in a region occupied by the Gulf of Mexico (GoM) and adjacent portions of the Caribbean Sea and North Atlantic using satellite-tracked drifter trajectory data, the largest collection so far considered. From the analysis of the eigenvectors of the transition matrix associated with the chain, we identify almost-invariant attracting sets and their basins of attraction. With this information we decompose the GoM's geography into weakly dynamically interacting provinces, which constrain the connectivity between distant locations within the GoM. Offshore oil exploration, oil spill contingency planning, and fish larval connectivity assessment are among the many activities that can benefit from the dynamical information carried in the geography constructed here. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Master | 10 | 17% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Postgraduate | 8 | 14% |
| Student > Doctoral Student | 6 | 10% |
| Other | 6 | 10% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 21 | 36% |
| Environmental Science | 10 | 17% |
| Agricultural and Biological Sciences | 9 | 16% |
| Physics and Astronomy | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 August 2017.
All research outputs
#7,568,354
of 24,525,534 outputs
Outputs from Scientific Reports
#51,206
of 133,732 outputs
Outputs of similar age
#113,000
of 321,526 outputs
Outputs of similar age from Scientific Reports
#2,226
of 6,008 outputs
Altmetric has tracked 24,525,534 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 133,732 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 gotten more attention than average, scoring higher than 61% of its peers.
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We're also able to compare this research output to 6,008 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.