↓ Skip to main content

Copula–entropy theory for multivariate stochastic modeling in water engineering

Overview of attention for article published in Geoscience Letters, February 2018
Altmetric Badge

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Copula–entropy theory for multivariate stochastic modeling in water engineering
Published in
Geoscience Letters, February 2018
DOI 10.1186/s40562-018-0105-z
Authors

Vijay P. Singh, Lan Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Student > Ph. D. Student 7 16%
Researcher 6 13%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 8 18%
Unknown 11 24%
Readers by discipline Count As %
Engineering 8 18%
Environmental Science 6 13%
Earth and Planetary Sciences 5 11%
Computer Science 4 9%
Mathematics 3 7%
Other 5 11%
Unknown 14 31%
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 11 April 2018.
All research outputs
#15,504,780
of 23,041,514 outputs
Outputs from Geoscience Letters
#92
of 191 outputs
Outputs of similar age
#211,301
of 330,604 outputs
Outputs of similar age from Geoscience Letters
#5
of 6 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 330,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.