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A Priori Assessment of Prediction Confidence for Data-Driven Turbulence Modeling

Overview of attention for article published in Applied Scientific Research, Section B, March 2017
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Title
A Priori Assessment of Prediction Confidence for Data-Driven Turbulence Modeling
Published in
Applied Scientific Research, Section B, March 2017
DOI 10.1007/s10494-017-9807-0
Authors

Jin-Long Wu, Jian-Xun Wang, Heng Xiao, Julia Ling

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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 36%
Researcher 12 12%
Student > Master 12 12%
Professor > Associate Professor 5 5%
Student > Bachelor 4 4%
Other 12 12%
Unknown 18 18%
Readers by discipline Count As %
Engineering 56 57%
Physics and Astronomy 5 5%
Computer Science 4 4%
Chemical Engineering 2 2%
Energy 2 2%
Other 1 1%
Unknown 28 29%
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 19 July 2016.
All research outputs
#20,930,935
of 25,707,225 outputs
Outputs from Applied Scientific Research, Section B
#216
of 596 outputs
Outputs of similar age
#250,051
of 323,754 outputs
Outputs of similar age from Applied Scientific Research, Section B
#3
of 9 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 596 research outputs from this source. They receive a mean Attention Score of 1.1. This one is in the 37th percentile – i.e., 37% 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 323,754 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.