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Multi-objective optimisation of reliable product-plant network configuration

Overview of attention for article published in Applied Network Science, January 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 Mendeley
Title
Multi-objective optimisation of reliable product-plant network configuration
Published in
Applied Network Science, January 2018
DOI 10.1007/s41109-017-0058-8
Authors

Alexandra Brintrup, Alena Puchkova

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Researcher 3 23%
Student > Ph. D. Student 1 8%
Lecturer > Senior Lecturer 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 3 23%
Engineering 2 15%
Nursing and Health Professions 1 8%
Mathematics 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 4 31%

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 17 January 2018.
All research outputs
#10,617,578
of 18,059,490 outputs
Outputs from Applied Network Science
#226
of 357 outputs
Outputs of similar age
#182,968
of 376,297 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 18,059,490 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 357 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one is in the 33rd percentile – i.e., 33% 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 376,297 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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