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Toward more localized local algorithms: removing assumptions concerning global knowledge

Overview of attention for article published in Distributed Computing, September 2012
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Mentioned by

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1 X user

Citations

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22 Dimensions

Readers on

mendeley
33 Mendeley
Title
Toward more localized local algorithms: removing assumptions concerning global knowledge
Published in
Distributed Computing, September 2012
DOI 10.1007/s00446-012-0174-8
Authors

Amos Korman, Jean-Sébastien Sereni, Laurent Viennot

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

Geographical breakdown

Country Count As %
Germany 2 6%
France 2 6%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Student > Master 6 18%
Researcher 5 15%
Professor > Associate Professor 3 9%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 24 73%
Mathematics 2 6%
Agricultural and Biological Sciences 1 3%
Philosophy 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 3 9%
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 12 December 2015.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Distributed Computing
#92
of 94 outputs
Outputs of similar age
#150,502
of 168,866 outputs
Outputs of similar age from Distributed Computing
#1
of 1 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 94 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% 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 168,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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