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A tutorial on variational Bayesian inference

Overview of attention for article published in Artificial Intelligence Review, June 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
221 Dimensions

Readers on

mendeley
717 Mendeley
citeulike
3 CiteULike
Title
A tutorial on variational Bayesian inference
Published in
Artificial Intelligence Review, June 2011
DOI 10.1007/s10462-011-9236-8
Authors

Charles W. Fox, Stephen J. Roberts

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 717 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
China 4 <1%
Germany 3 <1%
United Kingdom 3 <1%
Australia 3 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Hong Kong 1 <1%
Brazil 1 <1%
Other 11 2%
Unknown 680 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 228 32%
Researcher 104 15%
Student > Master 104 15%
Student > Bachelor 49 7%
Student > Doctoral Student 31 4%
Other 96 13%
Unknown 105 15%
Readers by discipline Count As %
Computer Science 269 38%
Engineering 126 18%
Mathematics 58 8%
Agricultural and Biological Sciences 24 3%
Physics and Astronomy 20 3%
Other 87 12%
Unknown 133 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 October 2012.
All research outputs
#7,460,230
of 22,808,725 outputs
Outputs from Artificial Intelligence Review
#161
of 681 outputs
Outputs of similar age
#41,327
of 113,750 outputs
Outputs of similar age from Artificial Intelligence Review
#4
of 14 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 681 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 64% 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 113,750 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.