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The Semi-infinite Asymmetric Exclusion Process: Large Deviations via Matrix Products

Overview of attention for article published in Potential Analysis, June 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user

Citations

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4 Dimensions

Readers on

mendeley
9 Mendeley
Title
The Semi-infinite Asymmetric Exclusion Process: Large Deviations via Matrix Products
Published in
Potential Analysis, June 2017
DOI 10.1007/s11118-017-9635-9
Authors

Horacio González Duhart, Peter Mörters, Johannes Zimmer

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 33%
Professor 2 22%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Unknown 2 22%
Readers by discipline Count As %
Physics and Astronomy 4 44%
Mathematics 3 33%
Unknown 2 22%
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 30 June 2017.
All research outputs
#15,467,628
of 22,985,065 outputs
Outputs from Potential Analysis
#17
of 80 outputs
Outputs of similar age
#198,591
of 315,315 outputs
Outputs of similar age from Potential Analysis
#1
of 5 outputs
Altmetric has tracked 22,985,065 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 80 research outputs from this source. They receive a mean Attention Score of 1.0. This one has gotten more attention than average, scoring higher than 67% 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 315,315 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them