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Architecture of transcriptional regulatory circuits is knitted over the topology of bio-molecular interaction networks

Overview of attention for article published in BMC Systems Biology, February 2008
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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)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Architecture of transcriptional regulatory circuits is knitted over the topology of bio-molecular interaction networks
Published in
BMC Systems Biology, February 2008
DOI 10.1186/1752-0509-2-17
Pubmed ID
Authors

Ana Paula Oliveira, Kiran Raosaheb Patil, Jens Nielsen

Abstract

Uncovering the operating principles underlying cellular processes by using 'omics' data is often a difficult task due to the high-dimensionality of the solution space that spans all interactions among the bio-molecules under consideration. A rational way to overcome this problem is to use the topology of bio-molecular interaction networks in order to constrain the solution space. Such approaches systematically integrate the existing biological knowledge with the 'omics' data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
France 2 1%
Sweden 2 1%
Brazil 1 <1%
Portugal 1 <1%
Netherlands 1 <1%
India 1 <1%
Finland 1 <1%
Other 2 1%
Unknown 128 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 28%
Researcher 35 24%
Student > Master 18 13%
Student > Bachelor 12 8%
Professor 7 5%
Other 22 15%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 50%
Biochemistry, Genetics and Molecular Biology 22 15%
Engineering 11 8%
Computer Science 5 3%
Medicine and Dentistry 4 3%
Other 12 8%
Unknown 17 12%
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 25 August 2014.
All research outputs
#5,873,424
of 22,761,738 outputs
Outputs from BMC Systems Biology
#196
of 1,142 outputs
Outputs of similar age
#33,962
of 156,237 outputs
Outputs of similar age from BMC Systems Biology
#2
of 5 outputs
Altmetric has tracked 22,761,738 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 82% 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 156,237 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.