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Using Bayesian networks and virtual coverage to hit hard-to-reach events

Overview of attention for article published in International Journal on Software Tools for Technology Transfer, September 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#17 of 111)

Mentioned by

patent
1 patent

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
Title
Using Bayesian networks and virtual coverage to hit hard-to-reach events
Published in
International Journal on Software Tools for Technology Transfer, September 2009
DOI 10.1007/s10009-009-0119-0
Authors

Shai Fine, Laurent Fournier, Avi Ziv

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Readers by discipline Count As %
Computer Science 7 88%
Engineering 1 13%
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 20 January 2015.
All research outputs
#7,564,477
of 23,073,835 outputs
Outputs from International Journal on Software Tools for Technology Transfer
#17
of 111 outputs
Outputs of similar age
#32,724
of 92,188 outputs
Outputs of similar age from International Journal on Software Tools for Technology Transfer
#3
of 3 outputs
Altmetric has tracked 23,073,835 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 111 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 92,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
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.