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Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks

Overview of attention for article published in BMC Bioinformatics, September 2005
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1 X user

Citations

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354 Dimensions

Readers on

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277 Mendeley
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7 CiteULike
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6 Connotea
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Title
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Published in
BMC Bioinformatics, September 2005
DOI 10.1186/1471-2105-6-227
Pubmed ID
Authors

Cecily J Wolfe, Isaac S Kohane, Atul J Butte

Abstract

Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display increased likelihood of being associated with a common functional module, networks of coexpressed genes provide one framework for assigning gene function. This has informed the guilt-by-association (GBA) heuristic, widely invoked in functional genomics. Yet although the idea of GBA is accepted, the breadth of GBA applicability is uncertain.

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 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
United Kingdom 4 1%
Germany 2 <1%
Belgium 2 <1%
Italy 1 <1%
Australia 1 <1%
Portugal 1 <1%
India 1 <1%
Israel 1 <1%
Other 5 2%
Unknown 252 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 27%
Researcher 56 20%
Student > Master 32 12%
Student > Doctoral Student 18 6%
Student > Bachelor 17 6%
Other 39 14%
Unknown 41 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 103 37%
Biochemistry, Genetics and Molecular Biology 53 19%
Computer Science 35 13%
Medicine and Dentistry 16 6%
Engineering 5 2%
Other 16 6%
Unknown 49 18%
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 15 September 2014.
All research outputs
#18,378,085
of 22,763,032 outputs
Outputs from BMC Bioinformatics
#6,307
of 7,273 outputs
Outputs of similar age
#55,246
of 58,668 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 22 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 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 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.