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Computation of eigenvalues by numerical upscaling

Overview of attention for article published in Numerische Mathematik, September 2014
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1 X user

Citations

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Readers on

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10 Mendeley
Title
Computation of eigenvalues by numerical upscaling
Published in
Numerische Mathematik, September 2014
DOI 10.1007/s00211-014-0665-6
Authors

Axel Målqvist, Daniel Peterseim

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Professor 1 10%
Lecturer 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Mathematics 6 60%
Agricultural and Biological Sciences 1 10%
Unknown 3 30%
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 02 June 2015.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Numerische Mathematik
#235
of 284 outputs
Outputs of similar age
#210,967
of 251,945 outputs
Outputs of similar age from Numerische Mathematik
#1
of 2 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 284 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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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. This one has scored higher than all of them