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Markov Chain Monte Carlo in small worlds

Overview of attention for article published in Statistics and Computing, June 2006
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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 (71st percentile)

Mentioned by

patent
1 patent
q&a
1 Q&A thread

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
34 Mendeley
Title
Markov Chain Monte Carlo in small worlds
Published in
Statistics and Computing, June 2006
DOI 10.1007/s11222-006-6966-6
Authors

Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone

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 Kingdom 1 3%
Japan 1 3%
United States 1 3%
China 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 41%
Student > Ph. D. Student 8 24%
Professor > Associate Professor 5 15%
Professor 2 6%
Student > Bachelor 1 3%
Other 2 6%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 18%
Computer Science 6 18%
Mathematics 5 15%
Engineering 3 9%
Environmental Science 2 6%
Other 8 24%
Unknown 4 12%
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 20 September 2016.
All research outputs
#5,609,913
of 23,039,416 outputs
Outputs from Statistics and Computing
#92
of 506 outputs
Outputs of similar age
#18,413
of 65,047 outputs
Outputs of similar age from Statistics and Computing
#1
of 3 outputs
Altmetric has tracked 23,039,416 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 506 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 81% 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 65,047 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 71% of its contemporaries.
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. This one has scored higher than all of them