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Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphs

Overview of attention for article published in Computational Social Networks, February 2021
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
11 Mendeley
Title
Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphs
Published in
Computational Social Networks, February 2021
DOI 10.1186/s40649-021-00086-z
Authors

Yaoxin Li, Jing Liu, Guozheng Lin, Yueyuan Hou, Muyun Mou, Jiang Zhang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Postgraduate 2 18%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 5 45%
Mathematics 2 18%
Philosophy 1 9%
Engineering 1 9%
Unknown 2 18%

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 18 February 2021.
All research outputs
#13,534,453
of 20,319,125 outputs
Outputs from Computational Social Networks
#25
of 39 outputs
Outputs of similar age
#193,716
of 310,926 outputs
Outputs of similar age from Computational Social Networks
#1
of 1 outputs
Altmetric has tracked 20,319,125 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 3.7. This one scored the same or higher as 14 of them.
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 310,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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