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Rule–based regulatory and metabolic model for Quorum sensing in P. aeruginosa

Overview of attention for article published in BMC Systems Biology, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 1,127)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Rule–based regulatory and metabolic model for Quorum sensing in P. aeruginosa
Published in
BMC Systems Biology, August 2013
DOI 10.1186/1752-0509-7-81
Pubmed ID
Authors

Nadine S Schaadt, Anke Steinbach, Rolf W Hartmann, Volkhard Helms

Abstract

In the pathogen P. aeruginosa, the formation of virulence factors is regulated via Quorum sensing signaling pathways. Due to the increasing number of strains that are resistant to antibiotics, there is a high interest to develop novel antiinfectives. In the combat of resistant bacteria, selective blockade of the bacterial cell-to-cell communication (Quorum sensing) has gained special interest as anti-virulence strategy. Here, we modeled the las, rhl, and pqs Quorum sensing systems by a multi-level logical approach to analyze how enzyme inhibitors and receptor antagonists effect the formation of autoinducers and virulence factors.

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

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 2 3%
Netherlands 1 1%
Singapore 1 1%
Unknown 65 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 29%
Student > Master 15 21%
Researcher 11 15%
Student > Bachelor 8 11%
Student > Doctoral Student 4 6%
Other 7 10%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 40%
Biochemistry, Genetics and Molecular Biology 8 11%
Engineering 7 10%
Computer Science 7 10%
Immunology and Microbiology 4 6%
Other 8 11%
Unknown 9 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 10 September 2013.
All research outputs
#1,571,793
of 18,796,975 outputs
Outputs from BMC Systems Biology
#36
of 1,127 outputs
Outputs of similar age
#15,573
of 172,595 outputs
Outputs of similar age from BMC Systems Biology
#1
of 12 outputs
Altmetric has tracked 18,796,975 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,127 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 172,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.