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Opendda: a Novel High-Performance Computational Framework for the Discrete Dipole Approximation

Overview of attention for article published in International Journal of High Performance Computing Applications, February 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Opendda: a Novel High-Performance Computational Framework for the Discrete Dipole Approximation
Published in
International Journal of High Performance Computing Applications, February 2009
DOI 10.1177/1094342008097914
Authors

James Mc Donald, Aaron Golden, S. Gerard Jennings

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 3%
Student > Doctoral Student 1 3%
Unknown 32 94%
Readers by discipline Count As %
Physics and Astronomy 1 3%
Engineering 1 3%
Unknown 32 94%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 October 2009.
All research outputs
#815,309
of 3,615,588 outputs
Outputs from International Journal of High Performance Computing Applications
#5
of 26 outputs
Outputs of similar age
#23,623
of 93,152 outputs
Outputs of similar age from International Journal of High Performance Computing Applications
#1
of 1 outputs
Altmetric has tracked 3,615,588 research outputs across all sources so far. This one has received more attention than most of these and is in the 62nd percentile.
So far Altmetric has tracked 26 research outputs from this source. They receive a mean Attention Score of 2.3. This one scored the same or higher as 21 of them.
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 93,152 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1 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