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Brownian Forgery of Statistical Dependences

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, June 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
8 Mendeley
citeulike
2 CiteULike
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Title
Brownian Forgery of Statistical Dependences
Published in
Frontiers in Applied Mathematics and Statistics, June 2018
DOI 10.3389/fams.2018.00019
Authors

Vincent Wens

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Researcher 2 25%
Student > Ph. D. Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Physics and Astronomy 2 25%
Computer Science 1 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Medicine and Dentistry 1 13%
Neuroscience 1 13%
Other 0 0%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 June 2018.
All research outputs
#15,158,693
of 23,314,015 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#124
of 347 outputs
Outputs of similar age
#199,528
of 330,418 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#12
of 20 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 347 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 330,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.