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Seeded Bayesian Networks: Constructing genetic networks from microarray data

Overview of attention for article published in BMC Systems Biology, July 2008
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
175 Mendeley
citeulike
15 CiteULike
connotea
3 Connotea
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Title
Seeded Bayesian Networks: Constructing genetic networks from microarray data
Published in
BMC Systems Biology, July 2008
DOI 10.1186/1752-0509-2-57
Pubmed ID
Authors

Amira Djebbari, John Quackenbush

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 7%
United Kingdom 3 2%
Germany 2 1%
Spain 2 1%
Hong Kong 1 <1%
Sweden 1 <1%
Singapore 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Other 1 <1%
Unknown 150 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 32%
Student > Ph. D. Student 50 29%
Professor > Associate Professor 14 8%
Professor 14 8%
Student > Master 11 6%
Other 25 14%
Unknown 5 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 42%
Computer Science 33 19%
Biochemistry, Genetics and Molecular Biology 22 13%
Medicine and Dentistry 9 5%
Mathematics 6 3%
Other 19 11%
Unknown 12 7%
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 05 October 2018.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#28,548
of 81,739 outputs
Outputs of similar age from BMC Systems Biology
#5
of 7 outputs
Altmetric has tracked 22,811,321 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. 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 81,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.