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A Bayesian method for the induction of probabilistic networks from data

Overview of attention for article published in Machine Learning, October 1992
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

policy
1 policy source
patent
17 patents

Citations

dimensions_citation
2728 Dimensions

Readers on

mendeley
620 Mendeley
citeulike
7 CiteULike
Title
A Bayesian method for the induction of probabilistic networks from data
Published in
Machine Learning, October 1992
DOI 10.1007/bf00994110
Authors

Gregory F. Cooper, Edward Herskovits

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 620 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 3%
United Kingdom 15 2%
Brazil 6 <1%
France 6 <1%
Spain 5 <1%
Italy 3 <1%
Australia 3 <1%
Germany 3 <1%
India 3 <1%
Other 24 4%
Unknown 534 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 178 29%
Researcher 109 18%
Student > Master 80 13%
Professor > Associate Professor 42 7%
Student > Doctoral Student 37 6%
Other 123 20%
Unknown 51 8%
Readers by discipline Count As %
Computer Science 234 38%
Engineering 103 17%
Agricultural and Biological Sciences 48 8%
Mathematics 34 5%
Medicine and Dentistry 19 3%
Other 95 15%
Unknown 87 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 May 2022.
All research outputs
#3,907,044
of 26,017,215 outputs
Outputs from Machine Learning
#106
of 1,266 outputs
Outputs of similar age
#1,163
of 18,433 outputs
Outputs of similar age from Machine Learning
#1
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,266 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 90% 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 18,433 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 88% of its contemporaries.
We're also able to compare this research output to 2 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