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Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge

Overview of attention for article published in Journal of Signal Processing Systems, August 2007
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Mentioned by

patent
1 patent

Readers on

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4 Mendeley
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Title
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge
Published in
Journal of Signal Processing Systems, August 2007
DOI 10.1007/s11265-007-0082-5
Authors

Ruxandra Lupas Scheiterer, Dragan Obradovic, Volker Tresp

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Student > Postgraduate 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%
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 07 May 2015.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Journal of Signal Processing Systems
#103
of 364 outputs
Outputs of similar age
#25,624
of 70,810 outputs
Outputs of similar age from Journal of Signal Processing Systems
#3
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 18th percentile – i.e., 18% 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 70,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.