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Robust flows over time: models and complexity results

Overview of attention for article published in Mathematical Programming, June 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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8 Dimensions

Readers on

mendeley
15 Mendeley
Title
Robust flows over time: models and complexity results
Published in
Mathematical Programming, June 2017
DOI 10.1007/s10107-017-1170-3
Authors

Corinna Gottschalk, Arie M. C. A. Koster, Frauke Liers, Britta Peis, Daniel Schmand, Andreas Wierz

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 2 13%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Professor 1 7%
Other 3 20%
Unknown 2 13%
Readers by discipline Count As %
Mathematics 5 33%
Computer Science 1 7%
Economics, Econometrics and Finance 1 7%
Psychology 1 7%
Decision Sciences 1 7%
Other 0 0%
Unknown 6 40%
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 27 March 2017.
All research outputs
#17,812,737
of 22,883,326 outputs
Outputs from Mathematical Programming
#469
of 677 outputs
Outputs of similar age
#226,205
of 316,353 outputs
Outputs of similar age from Mathematical Programming
#4
of 8 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 29th percentile – i.e., 29% 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 316,353 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.