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Phylogenetically informed logic relationships improve detection of biological network organization

Overview of attention for article published in BMC Bioinformatics, December 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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5 X users

Citations

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4 Dimensions

Readers on

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25 Mendeley
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5 CiteULike
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Title
Phylogenetically informed logic relationships improve detection of biological network organization
Published in
BMC Bioinformatics, December 2011
DOI 10.1186/1471-2105-12-476
Pubmed ID
Authors

Jike Cui, Todd F DeLuca, Jae-Yoon Jung, Dennis P Wall

Abstract

A "phylogenetic profile" refers to the presence or absence of a gene across a set of organisms, and it has been proven valuable for understanding gene functional relationships and network organization. Despite this success, few studies have attempted to search beyond just pairwise relationships among genes. Here we search for logic relationships involving three genes, and explore its potential application in gene network analyses.

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

Geographical breakdown

Country Count As %
Mexico 1 4%
United States 1 4%
Netherlands 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Researcher 7 28%
Student > Postgraduate 3 12%
Student > Master 3 12%
Other 2 8%
Other 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 72%
Biochemistry, Genetics and Molecular Biology 3 12%
Computer Science 3 12%
Mathematics 1 4%
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 20 December 2011.
All research outputs
#6,107,277
of 22,659,164 outputs
Outputs from BMC Bioinformatics
#2,323
of 7,240 outputs
Outputs of similar age
#54,579
of 242,419 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 100 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 67% 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 242,419 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 77% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.