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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

twitter
1 tweeter

Citations

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8 Dimensions

Readers on

mendeley
13 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Master 2 15%
Researcher 2 15%
Student > Postgraduate 1 8%
Other 1 8%
Other 2 15%
Readers by discipline Count As %
Earth and Planetary Sciences 7 54%
Unspecified 3 23%
Engineering 2 15%
Social Sciences 1 8%

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
#10,227,586
of 11,528,155 outputs
Outputs from Advances in Meteorology
#263
of 456 outputs
Outputs of similar age
#239,787
of 285,010 outputs
Outputs of similar age from Advances in Meteorology
#38
of 38 outputs
Altmetric has tracked 11,528,155 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 456 research outputs from this source. They receive a mean Attention Score of 1.1. 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 285,010 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 38 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.