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A Successive Linear Relaxation Method for MINLPs with Multivariate Lipschitz Continuous Nonlinearities

Overview of attention for article published in Journal of Optimization Theory and Applications, July 2023
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Title
A Successive Linear Relaxation Method for MINLPs with Multivariate Lipschitz Continuous Nonlinearities
Published in
Journal of Optimization Theory and Applications, July 2023
DOI 10.1007/s10957-023-02254-9
Authors

Julia Grübel, Richard Krug, Martin Schmidt, Winnifried Wollner

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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 25 July 2023.
All research outputs
#16,392,119
of 24,149,630 outputs
Outputs from Journal of Optimization Theory and Applications
#180
of 621 outputs
Outputs of similar age
#93,023
of 172,671 outputs
Outputs of similar age from Journal of Optimization Theory and Applications
#2
of 2 outputs
Altmetric has tracked 24,149,630 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 621 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 55% 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 172,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
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.