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RIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network

Overview of attention for article published in Genome Biology, December 2012
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users
q&a
1 Q&A thread

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
5 CiteULike
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Title
RIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network
Published in
Genome Biology, December 2012
DOI 10.1186/gb-2012-13-12-r125
Pubmed ID
Authors

Peggy I Wang, Sohyun Hwang, Rodney P Kincaid, Christopher S Sullivan, Insuk Lee, Edward M Marcotte

Abstract

The growing availability of large-scale functional networks has promoted the development of many successful techniques for predicting functions of genes. Here we extend these network-based principles and techniques to functionally characterize whole sets of genes. We present RIDDLE (Reflective Diffusion and Local Extension), which uses well developed guilt-by-association principles upon a human gene network to identify associations of gene sets. RIDDLE is particularly adept at characterizing sets with no annotations, a major challenge where most traditional set analyses fail. Notably, RIDDLE found microRNA-450a to be strongly implicated in ocular diseases and development. A web application is available at http://www.functionalnet.org/RIDDLE.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 8%
Korea, Republic of 1 2%
Hungary 1 2%
Mexico 1 2%
Slovenia 1 2%
Unknown 53 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 35%
Researcher 18 29%
Student > Master 5 8%
Professor 4 6%
Student > Bachelor 4 6%
Other 8 13%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 44%
Computer Science 14 23%
Biochemistry, Genetics and Molecular Biology 9 15%
Engineering 3 5%
Mathematics 2 3%
Other 3 5%
Unknown 4 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 March 2013.
All research outputs
#6,754,462
of 25,374,917 outputs
Outputs from Genome Biology
#3,158
of 4,467 outputs
Outputs of similar age
#65,785
of 288,876 outputs
Outputs of similar age from Genome Biology
#32
of 50 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% 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 288,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.