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Online Mesh Refinement for Parallel Atmospheric Models

Overview of attention for article published in International Journal of Parallel Programming, December 2012
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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7 Mendeley
Title
Online Mesh Refinement for Parallel Atmospheric Models
Published in
International Journal of Parallel Programming, December 2012
DOI 10.1007/s10766-012-0235-4
Authors

Claudio Schepke, Nicolas Maillard, Joerg Schneider, Hans-Ulrich Heiss

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Student > Master 2 29%
Unknown 2 29%
Readers by discipline Count As %
Business, Management and Accounting 2 29%
Computer Science 1 14%
Physics and Astronomy 1 14%
Engineering 1 14%
Unknown 2 29%
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 15 April 2013.
All research outputs
#18,336,865
of 22,707,247 outputs
Outputs from International Journal of Parallel Programming
#151
of 170 outputs
Outputs of similar age
#215,653
of 277,814 outputs
Outputs of similar age from International Journal of Parallel Programming
#3
of 4 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 5th percentile – i.e., 5% 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 277,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.