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Small-time fluctuations for sub-Riemannian diffusion loops

Overview of attention for article published in Probability Theory and Related Fields, June 2017
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users

Citations

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3 Dimensions

Readers on

mendeley
1 Mendeley
Title
Small-time fluctuations for sub-Riemannian diffusion loops
Published in
Probability Theory and Related Fields, June 2017
DOI 10.1007/s00440-017-0788-7
Authors

Karen Habermann

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Mathematics 1 100%
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 16 December 2016.
All research outputs
#15,396,539
of 23,852,579 outputs
Outputs from Probability Theory and Related Fields
#185
of 276 outputs
Outputs of similar age
#188,633
of 318,443 outputs
Outputs of similar age from Probability Theory and Related Fields
#2
of 5 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 276 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% 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 318,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% 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 3 of them.