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Agent-based dynamic knowledge representation of Pseudomonas aeruginosa virulence activation in the stressed gut: Towards characterizing host-pathogen interactions in gut-derived sepsis

Overview of attention for article published in Theoretical Biology and Medical Modelling, September 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
83 Mendeley
citeulike
1 CiteULike
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Title
Agent-based dynamic knowledge representation of Pseudomonas aeruginosa virulence activation in the stressed gut: Towards characterizing host-pathogen interactions in gut-derived sepsis
Published in
Theoretical Biology and Medical Modelling, September 2011
DOI 10.1186/1742-4682-8-33
Pubmed ID
Authors

John B Seal, John C Alverdy, Olga Zaborina, Gary An

Abstract

There is a growing realization that alterations in host-pathogen interactions (HPI) can generate disease phenotypes without pathogen invasion. The gut represents a prime region where such HPI can arise and manifest. Under normal conditions intestinal microbial communities maintain a stable, mutually beneficial ecosystem. However, host stress can lead to changes in environmental conditions that shift the nature of the host-microbe dialogue, resulting in escalation of virulence expression, immune activation and ultimately systemic disease. Effective modulation of these dynamics requires the ability to characterize the complexity of the HPI, and dynamic computational modeling can aid in this task. Agent-based modeling is a computational method that is suited to representing spatially diverse, dynamical systems. We propose that dynamic knowledge representation of gut HPI with agent-based modeling will aid in the investigation of the pathogenesis of gut-derived sepsis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Germany 1 1%
Montenegro 1 1%
France 1 1%
Peru 1 1%
United Kingdom 1 1%
Unknown 74 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Ph. D. Student 17 20%
Student > Bachelor 9 11%
Professor > Associate Professor 8 10%
Student > Master 6 7%
Other 14 17%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 24%
Medicine and Dentistry 14 17%
Computer Science 10 12%
Engineering 7 8%
Biochemistry, Genetics and Molecular Biology 5 6%
Other 14 17%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 March 2012.
All research outputs
#5,458,496
of 22,663,969 outputs
Outputs from Theoretical Biology and Medical Modelling
#66
of 287 outputs
Outputs of similar age
#31,969
of 130,493 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#2
of 9 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 77% 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 130,493 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 75% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.