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GO-based Functional Dissimilarity of Gene Sets

Overview of attention for article published in BMC Bioinformatics, September 2011
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Title
GO-based Functional Dissimilarity of Gene Sets
Published in
BMC Bioinformatics, September 2011
DOI 10.1186/1471-2105-12-360
Pubmed ID
Authors

Norberto Díaz-Díaz, Jesús S Aguilar-Ruiz

Abstract

The Gene Ontology (GO) provides a controlled vocabulary for describing the functions of genes and can be used to evaluate the functional coherence of gene sets. Many functional coherence measures consider each pair of gene functions in a set and produce an output based on all pairwise distances. A single gene can encode multiple proteins that may differ in function. For each functionality, other proteins that exhibit the same activity may also participate. Therefore, an identification of the most common function for all of the genes involved in a biological process is important in evaluating the functional similarity of groups of genes and a quantification of functional coherence can helps to clarify the role of a group of genes working together.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 5%
United States 2 3%
Malaysia 1 2%
Chile 1 2%
Germany 1 2%
Italy 1 2%
Portugal 1 2%
Spain 1 2%
Australia 1 2%
Other 0 0%
Unknown 49 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Student > Ph. D. Student 16 26%
Professor > Associate Professor 6 10%
Professor 5 8%
Student > Master 4 7%
Other 9 15%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 48%
Computer Science 21 34%
Biochemistry, Genetics and Molecular Biology 3 5%
Business, Management and Accounting 2 3%
Mathematics 1 2%
Other 3 5%
Unknown 2 3%
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 06 September 2011.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#6,459
of 7,400 outputs
Outputs of similar age
#104,509
of 126,519 outputs
Outputs of similar age from BMC Bioinformatics
#71
of 79 outputs
Altmetric has tracked 23,577,654 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 7,400 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 79 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.