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Failure detection and consensus in the crash-recovery model

Overview of attention for article published in Distributed Computing, April 2000
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

patent
6 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
Title
Failure detection and consensus in the crash-recovery model
Published in
Distributed Computing, April 2000
DOI 10.1007/s004460050070
Authors

Marcos Kawazoe Aguilera, Wei Chen, Sam Toueg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
United Kingdom 1 3%
Germany 1 3%
Brazil 1 3%
Unknown 29 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Researcher 4 12%
Professor > Associate Professor 4 12%
Student > Postgraduate 3 9%
Other 6 18%
Unknown 5 15%
Readers by discipline Count As %
Computer Science 25 74%
Engineering 2 6%
Medicine and Dentistry 1 3%
Nursing and Health Professions 1 3%
Unknown 5 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 May 2023.
All research outputs
#4,754,698
of 23,016,919 outputs
Outputs from Distributed Computing
#11
of 94 outputs
Outputs of similar age
#6,067
of 39,884 outputs
Outputs of similar age from Distributed Computing
#1
of 1 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 94 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 80% of its peers.
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 39,884 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
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