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Model order reduction of parameterized systems (MoRePaS)

Overview of attention for article published in Advances in Computational Mathematics, November 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#41 of 104)
  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
11 Mendeley
Title
Model order reduction of parameterized systems (MoRePaS)
Published in
Advances in Computational Mathematics, November 2015
DOI 10.1007/s10444-015-9443-y
Authors

Peter Benner, Mario Ohlberger, Anthony T. Patera, Gianluigi Rozza, Danny C. Sorensen, Karsten Urban

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Professor 2 18%
Other 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Mathematics 5 45%
Engineering 3 27%
Computer Science 1 9%
Unknown 2 18%
Attention Score in Context

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 20 November 2015.
All research outputs
#14,241,439
of 22,833,393 outputs
Outputs from Advances in Computational Mathematics
#41
of 104 outputs
Outputs of similar age
#145,439
of 281,503 outputs
Outputs of similar age from Advances in Computational Mathematics
#2
of 4 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 104 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 281,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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. This one has scored higher than 2 of them.