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An Isserlis’ Theorem for Mixed Gaussian Variables: Application to the Auto-Bispectral Density

Overview of attention for article published in Journal of Statistical Physics, June 2009
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Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
19 Mendeley
Title
An Isserlis’ Theorem for Mixed Gaussian Variables: Application to the Auto-Bispectral Density
Published in
Journal of Statistical Physics, June 2009
DOI 10.1007/s10955-009-9768-3
Authors

J. V. Michalowicz, J. M. Nichols, F. Bucholtz, C. C. Olson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Student > Bachelor 3 16%
Researcher 3 16%
Lecturer 2 11%
Student > Master 2 11%
Other 3 16%
Unknown 1 5%
Readers by discipline Count As %
Physics and Astronomy 4 21%
Engineering 4 21%
Mathematics 2 11%
Chemistry 2 11%
Social Sciences 1 5%
Other 3 16%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 October 2019.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from Journal of Statistical Physics
#202
of 1,731 outputs
Outputs of similar age
#38,243
of 113,722 outputs
Outputs of similar age from Journal of Statistical Physics
#2
of 2 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,731 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 77% 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 113,722 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 2 others from the same source and published within six weeks on either side of this one.