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HIDEN: Hierarchical decomposition of regulatory networks

Overview of attention for article published in BMC Bioinformatics, September 2012
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
20 Mendeley
citeulike
3 CiteULike
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Title
HIDEN: Hierarchical decomposition of regulatory networks
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-250
Pubmed ID
Authors

Günhan Gülsoy, Nirmalya Bandhyopadhyay, Tamer Kahveci

Abstract

Transcription factors regulate numerous cellular processes by controlling the rate of production of each gene. The regulatory relations are modeled using transcriptional regulatory networks. Recent studies have shown that such networks have an underlying hierarchical organization. We consider the problem of discovering the underlying hierarchy in transcriptional regulatory networks.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
Spain 1 5%
Portugal 1 5%
France 1 5%
Unknown 15 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 60%
Student > Ph. D. Student 2 10%
Professor 2 10%
Professor > Associate Professor 2 10%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 45%
Biochemistry, Genetics and Molecular Biology 6 30%
Computer Science 2 10%
Physics and Astronomy 1 5%
Unknown 2 10%

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 30 September 2012.
All research outputs
#10,995,630
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#4,225
of 4,588 outputs
Outputs of similar age
#108,742
of 127,926 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 46 outputs
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So far Altmetric has tracked 4,588 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 127,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.