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A continuation multilevel Monte Carlo algorithm

Overview of attention for article published in BIT Numerical Mathematics, September 2014
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Citations

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50 Mendeley
Title
A continuation multilevel Monte Carlo algorithm
Published in
BIT Numerical Mathematics, September 2014
DOI 10.1007/s10543-014-0511-3
Authors

Nathan Collier, Abdul-Lateef Haji-Ali, Fabio Nobile, Erik von Schwerin, Raúl Tempone

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 4%
United Kingdom 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 28%
Researcher 11 22%
Student > Master 5 10%
Lecturer 3 6%
Professor 3 6%
Other 6 12%
Unknown 8 16%
Readers by discipline Count As %
Mathematics 13 26%
Engineering 12 24%
Computer Science 7 14%
Economics, Econometrics and Finance 2 4%
Environmental Science 1 2%
Other 2 4%
Unknown 13 26%
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 12 February 2014.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from BIT Numerical Mathematics
#180
of 202 outputs
Outputs of similar age
#174,175
of 241,482 outputs
Outputs of similar age from BIT Numerical Mathematics
#2
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 202 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 2nd percentile – i.e., 2% 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 241,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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.