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Deterministic Global Optimization with Artificial Neural Networks Embedded

Overview of attention for article published in Journal of Optimization Theory & Applications, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
47 Mendeley
Title
Deterministic Global Optimization with Artificial Neural Networks Embedded
Published in
Journal of Optimization Theory & Applications, October 2018
DOI 10.1007/s10957-018-1396-0
Authors

Artur M. Schweidtmann, Alexander Mitsos

Twitter Demographics

The data shown below were collected from the profiles of 4 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 32%
Unspecified 9 19%
Researcher 7 15%
Student > Master 5 11%
Professor 3 6%
Other 8 17%
Readers by discipline Count As %
Unspecified 16 34%
Chemical Engineering 12 26%
Computer Science 9 19%
Engineering 4 9%
Mathematics 2 4%
Other 4 9%

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 24 January 2018.
All research outputs
#6,726,913
of 12,413,055 outputs
Outputs from Journal of Optimization Theory & Applications
#85
of 159 outputs
Outputs of similar age
#145,420
of 339,516 outputs
Outputs of similar age from Journal of Optimization Theory & Applications
#1
of 3 outputs
Altmetric has tracked 12,413,055 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 159 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 45th percentile – i.e., 45% 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 339,516 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 55% of its contemporaries.
We're also able to compare this research output to 3 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