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The development of a fully-integrated immune response model (FIRM) simulator of the immune response through integration of multiple subset models

Overview of attention for article published in BMC Systems Biology, September 2013
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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 (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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9 X users

Citations

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67 Dimensions

Readers on

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142 Mendeley
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1 CiteULike
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Title
The development of a fully-integrated immune response model (FIRM) simulator of the immune response through integration of multiple subset models
Published in
BMC Systems Biology, September 2013
DOI 10.1186/1752-0509-7-95
Pubmed ID
Authors

Sirus Palsson, Timothy P Hickling, Erica L Bradshaw-Pierce, Michael Zager, Karin Jooss, Peter J O’Brien, Mary E Spilker, Bernhard O Palsson, Paolo Vicini

Abstract

The complexity and multiscale nature of the mammalian immune response provides an excellent test bed for the potential of mathematical modeling and simulation to facilitate mechanistic understanding. Historically, mathematical models of the immune response focused on subsets of the immune system and/or specific aspects of the response. Mathematical models have been developed for the humoral side of the immune response, or for the cellular side, or for cytokine kinetics, but rarely have they been proposed to encompass the overall system complexity. We propose here a framework for integration of subset models, based on a system biology approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
France 1 <1%
India 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 134 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 43%
Student > Ph. D. Student 27 19%
Other 8 6%
Student > Master 8 6%
Professor > Associate Professor 7 5%
Other 19 13%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 30%
Biochemistry, Genetics and Molecular Biology 18 13%
Engineering 15 11%
Medicine and Dentistry 12 8%
Pharmacology, Toxicology and Pharmaceutical Science 9 6%
Other 27 19%
Unknown 19 13%
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 16 April 2020.
All research outputs
#6,179,885
of 25,245,273 outputs
Outputs from BMC Systems Biology
#171
of 1,130 outputs
Outputs of similar age
#50,044
of 212,585 outputs
Outputs of similar age from BMC Systems Biology
#5
of 27 outputs
Altmetric has tracked 25,245,273 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 1,130 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% 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 212,585 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 76% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.