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Adaptive approximate Bayesian computation for complex models

Overview of attention for article published in Computational Statistics, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 162)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
googleplus
1 Google+ user

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Adaptive approximate Bayesian computation for complex models
Published in
Computational Statistics, July 2013
DOI 10.1007/s00180-013-0428-3
Authors

Maxime Lenormand, Franck Jabot, Guillaume Deffuant

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Switzerland 1 <1%
Unknown 109 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 26%
Student > Ph. D. Student 27 24%
Student > Master 12 11%
Professor 7 6%
Student > Doctoral Student 6 5%
Other 20 18%
Unknown 12 11%
Readers by discipline Count As %
Mathematics 27 24%
Agricultural and Biological Sciences 21 19%
Engineering 13 12%
Computer Science 8 7%
Environmental Science 6 5%
Other 15 13%
Unknown 23 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 May 2015.
All research outputs
#2,796,674
of 22,656,971 outputs
Outputs from Computational Statistics
#10
of 162 outputs
Outputs of similar age
#24,941
of 194,338 outputs
Outputs of similar age from Computational Statistics
#1
of 3 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 162 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 93% 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 194,338 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% 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