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X Demographics
Mendeley readers
Attention Score in Context
Title |
Boundary Preserving Semianalytic Numerical Algorithms for Stochastic Differential Equations
|
---|---|
Published in |
SIAM Journal on Scientific Computing, July 2007
|
DOI | 10.1137/05063725x |
Authors |
Esteban Moro, Henri Schurz |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 8% |
United Kingdom | 1 | 4% |
Cuba | 1 | 4% |
Belgium | 1 | 4% |
Unknown | 20 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 32% |
Professor | 5 | 20% |
Professor > Associate Professor | 2 | 8% |
Lecturer | 2 | 8% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 2 | 8% |
Unknown | 5 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 12 | 48% |
Physics and Astronomy | 6 | 24% |
Engineering | 2 | 8% |
Unknown | 5 | 20% |
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 14 December 2015.
All research outputs
#20,660,571
of 25,377,790 outputs
Outputs from SIAM Journal on Scientific Computing
#751
of 1,222 outputs
Outputs of similar age
#73,169
of 78,447 outputs
Outputs of similar age from SIAM Journal on Scientific Computing
#2
of 2 outputs
Altmetric has tracked 25,377,790 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 1,222 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 26th percentile – i.e., 26% 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 78,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% 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.