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Turbulence as a Problem in Non-equilibrium Statistical Mechanics

Overview of attention for article published in Journal of Statistical Physics, December 2016
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Mentioned by

twitter
2 tweeters

Citations

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7 Dimensions

Readers on

mendeley
33 Mendeley
Title
Turbulence as a Problem in Non-equilibrium Statistical Mechanics
Published in
Journal of Statistical Physics, December 2016
DOI 10.1007/s10955-016-1682-x
Authors

Nigel Goldenfeld, Hong-Yan Shih

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Student > Ph. D. Student 8 24%
Student > Bachelor 3 9%
Student > Master 3 9%
Unspecified 3 9%
Other 6 18%
Readers by discipline Count As %
Physics and Astronomy 19 58%
Engineering 6 18%
Unspecified 5 15%
Mathematics 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%

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 16 November 2016.
All research outputs
#6,582,755
of 8,642,080 outputs
Outputs from Journal of Statistical Physics
#275,052
of 491,617 outputs
Outputs of similar age
#166,755
of 239,951 outputs
Outputs of similar age from Journal of Statistical Physics
#12,459
of 24,477 outputs
Altmetric has tracked 8,642,080 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 491,617 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 18th percentile – i.e., 18% 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 239,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,477 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.