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Robust monotone submodular function maximization

Overview of attention for article published in Mathematical Programming, September 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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5 X users

Citations

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33 Dimensions

Readers on

mendeley
27 Mendeley
Title
Robust monotone submodular function maximization
Published in
Mathematical Programming, September 2018
DOI 10.1007/s10107-018-1320-2
Authors

James B. Orlin, Andreas S. Schulz, Rajan Udwani

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 37%
Student > Doctoral Student 3 11%
Researcher 3 11%
Lecturer 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 5 19%
Readers by discipline Count As %
Computer Science 6 22%
Engineering 5 19%
Mathematics 3 11%
Decision Sciences 2 7%
Economics, Econometrics and Finance 1 4%
Other 2 7%
Unknown 8 30%
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 17 November 2017.
All research outputs
#15,751,441
of 24,002,307 outputs
Outputs from Mathematical Programming
#417
of 699 outputs
Outputs of similar age
#206,626
of 341,177 outputs
Outputs of similar age from Mathematical Programming
#3
of 3 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 699 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 39th percentile – i.e., 39% 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 341,177 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
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.