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A Temporal Model of Human IgE and IgG Antibody Function

Overview of attention for article published in Frontiers in immunology, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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6 X users
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1 Facebook page
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4 Wikipedia pages
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1 research highlight platform

Citations

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126 Dimensions

Readers on

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165 Mendeley
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Title
A Temporal Model of Human IgE and IgG Antibody Function
Published in
Frontiers in immunology, January 2013
DOI 10.3389/fimmu.2013.00235
Pubmed ID
Authors

Andrew M. Collins, Katherine J. L. Jackson

Abstract

The diversity of the human antibody repertoire that is generated by V(D)J gene rearrangement is extended by nine constant region genes that give antibodies their complex array of effector functions. The application of high throughput sequencing to the study of V(D)J gene rearrangements has led to significant recent advances in our understanding of the antigen-binding repertoire. In contrast, our understanding of antibody function has changed little, and mystery still surrounds the existence of four distinctive IgG subclasses. Recent observations from murine models and from human studies of VDJ somatic point mutations suggest that the timing of emergence of cells from the germinal center may vary as a consequence of class switching. This should lead to predictable differences in affinity between isotypes. These differences, and varying abilities of the isotypes to fix complement and bind FcRs, could help coordinate the humoral defenses over the time course of a response. We therefore propose a Temporal Model of human IgE and IgG function in which early emergence of IgE sensitizes sentinel mast cells while switching to IgG3 recruits FcγR-mediated functions to the early response. IgG1 then emerges as the major effector of antigen clearance, and subsequently IgG2 competes with IgG1 to produce immune complexes that slow the inflammatory drive. Persisting antigen may finally stimulate high affinity IgG4 that outcompetes other isotypes and can terminate IgG1/FcγR-mediated activation via the inhibitory FcγRIIB. In this way, IgG antibodies of different subclasses, at different concentrations and with sometimes opposing functions deliver cohesive, protective immune function.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 160 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 21%
Researcher 26 16%
Student > Bachelor 21 13%
Student > Master 14 8%
Student > Doctoral Student 11 7%
Other 27 16%
Unknown 31 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 25%
Immunology and Microbiology 29 18%
Medicine and Dentistry 26 16%
Biochemistry, Genetics and Molecular Biology 16 10%
Engineering 6 4%
Other 16 10%
Unknown 30 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 November 2022.
All research outputs
#4,659,519
of 25,373,627 outputs
Outputs from Frontiers in immunology
#5,024
of 31,516 outputs
Outputs of similar age
#45,585
of 288,991 outputs
Outputs of similar age from Frontiers in immunology
#57
of 503 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 83% 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 288,991 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 84% of its contemporaries.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.