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Hierarchical Approximate Proper Orthogonal Decomposition

Overview of attention for article published in SIAM Journal on Scientific Computing, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Hierarchical Approximate Proper Orthogonal Decomposition
Published in
SIAM Journal on Scientific Computing, January 2018
DOI 10.1137/16m1085413
Authors

Christian Himpe, Tobias Leibner, Stephan Rave

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 > Postgraduate 2 20%
Student > Bachelor 2 20%
Student > Ph. D. Student 2 20%
Unspecified 1 10%
Student > Doctoral Student 1 10%
Other 2 20%
Readers by discipline Count As %
Mathematics 5 50%
Unspecified 2 20%
Engineering 2 20%
Economics, Econometrics and Finance 1 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 October 2018.
All research outputs
#6,843,058
of 12,376,381 outputs
Outputs from SIAM Journal on Scientific Computing
#211
of 340 outputs
Outputs of similar age
#119,207
of 253,990 outputs
Outputs of similar age from SIAM Journal on Scientific Computing
#1
of 1 outputs
Altmetric has tracked 12,376,381 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 340 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 36th percentile – i.e., 36% 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 253,990 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 51% 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