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Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control

Overview of attention for article published in Computational Economics, October 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 Google+ user

Citations

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8 Dimensions

Readers on

mendeley
21 Mendeley
Title
Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control
Published in
Computational Economics, October 2011
DOI 10.1007/s10614-011-9297-4
Authors

Sergei Morozov, Sudhanshu Mathur

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 5%
Norway 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Bachelor 4 19%
Researcher 2 10%
Student > Master 2 10%
Professor 2 10%
Other 6 29%
Readers by discipline Count As %
Economics, Econometrics and Finance 7 33%
Computer Science 6 29%
Arts and Humanities 2 10%
Engineering 2 10%
Environmental Science 1 5%
Other 3 14%

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 01 July 2015.
All research outputs
#7,698,257
of 12,319,703 outputs
Outputs from Computational Economics
#54
of 82 outputs
Outputs of similar age
#129,869
of 242,654 outputs
Outputs of similar age from Computational Economics
#3
of 3 outputs
Altmetric has tracked 12,319,703 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 18th percentile – i.e., 18% 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 242,654 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.