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Forecasting of Surface Currents via Correcting Wind Stress with Assimilation of High-Frequency Radar Data in a Three-Dimensional Model

Overview of attention for article published in Advances in Meteorology, January 2016
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Mentioned by

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1 X user

Citations

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16 Dimensions

Readers on

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21 Mendeley
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Title
Forecasting of Surface Currents via Correcting Wind Stress with Assimilation of High-Frequency Radar Data in a Three-Dimensional Model
Published in
Advances in Meteorology, January 2016
DOI 10.1155/2016/8950378
Authors

Lei Ren, Stephen Nash, Michael Hartnett

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Master 3 14%
Researcher 3 14%
Student > Bachelor 3 14%
Librarian 1 5%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Earth and Planetary Sciences 9 43%
Engineering 3 14%
Environmental Science 2 10%
Social Sciences 1 5%
Energy 1 5%
Other 0 0%
Unknown 5 24%
Attention Score in Context

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 28 March 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from Advances in Meteorology
#356
of 887 outputs
Outputs of similar age
#330,677
of 393,637 outputs
Outputs of similar age from Advances in Meteorology
#63
of 148 outputs
Altmetric has tracked 22,858,915 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 887 research outputs from this source. They receive a mean Attention Score of 1.3. 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 393,637 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 148 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.