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Zonal Eddy Viscosity Models Based on Machine Learning

Overview of attention for article published in Applied Scientific Research, Section B, February 2019
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Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
39 Mendeley
Title
Zonal Eddy Viscosity Models Based on Machine Learning
Published in
Applied Scientific Research, Section B, February 2019
DOI 10.1007/s10494-019-00011-5
Authors

R. Matai, P. A. Durbin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 31%
Researcher 7 18%
Student > Master 7 18%
Student > Bachelor 2 5%
Professor 1 3%
Other 2 5%
Unknown 8 21%
Readers by discipline Count As %
Engineering 21 54%
Physics and Astronomy 2 5%
Chemistry 1 3%
Agricultural and Biological Sciences 1 3%
Unknown 14 36%
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 09 February 2019.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Applied Scientific Research, Section B
#378
of 597 outputs
Outputs of similar age
#390,522
of 452,139 outputs
Outputs of similar age from Applied Scientific Research, Section B
#2
of 18 outputs
Altmetric has tracked 25,385,509 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 597 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 452,139 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 18 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.