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A comparison of approaches for finding minimum identifying codes on graphs

Overview of attention for article published in Quantum Information Processing, February 2016
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
Title
A comparison of approaches for finding minimum identifying codes on graphs
Published in
Quantum Information Processing, February 2016
DOI 10.1007/s11128-016-1240-0
Authors

Victoria Horan, Steve Adachi, Stanley Bak

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Lecturer 1 11%
Other 1 11%
Student > Master 1 11%
Student > Ph. D. Student 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 3 33%
Physics and Astronomy 1 11%
Chemistry 1 11%
Engineering 1 11%
Unknown 3 33%
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 25 May 2016.
All research outputs
#18,461,618
of 22,875,477 outputs
Outputs from Quantum Information Processing
#488
of 762 outputs
Outputs of similar age
#287,427
of 397,088 outputs
Outputs of similar age from Quantum Information Processing
#21
of 42 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 762 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 9th percentile – i.e., 9% 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 397,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.