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Empirical evaluation of scoring functions for Bayesian network model selection

Overview of attention for article published in BMC Bioinformatics, September 2012
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1 X user

Citations

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71 Dimensions

Readers on

mendeley
97 Mendeley
citeulike
3 CiteULike
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Title
Empirical evaluation of scoring functions for Bayesian network model selection
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-s15-s14
Pubmed ID
Authors

Zhifa Liu, Brandon Malone, Changhe Yuan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
France 1 1%
Switzerland 1 1%
Unknown 94 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Student > Master 16 16%
Researcher 7 7%
Student > Bachelor 6 6%
Professor 5 5%
Other 19 20%
Unknown 17 18%
Readers by discipline Count As %
Computer Science 31 32%
Engineering 20 21%
Medicine and Dentistry 6 6%
Agricultural and Biological Sciences 5 5%
Environmental Science 3 3%
Other 13 13%
Unknown 19 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 February 2021.
All research outputs
#15,666,906
of 23,278,709 outputs
Outputs from BMC Bioinformatics
#5,463
of 7,369 outputs
Outputs of similar age
#107,566
of 169,726 outputs
Outputs of similar age from BMC Bioinformatics
#60
of 93 outputs
Altmetric has tracked 23,278,709 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 169,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.