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Treg Vaccination in Autoimmune Type 1 Diabetes

Overview of attention for article published in BioDrugs, August 2013
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Title
Treg Vaccination in Autoimmune Type 1 Diabetes
Published in
BioDrugs, August 2013
DOI 10.1007/s40259-013-0060-3
Pubmed ID
Authors

Isabelle Serr, Benno Weigmann, Randi Kristina Franke, Carolin Daniel

Abstract

Foxp3⁺ regulatory T (Treg) cells are critical contributors to the establishment and maintenance of immunological self-tolerance. Autoimmune type 1 diabetes (T1D) is characterized by the loss of self-tolerance to the insulin-producing β cells in the pancreas and the destruction of β cells, resulting in the development of chronic hyperglycemia at diagnosis. The application of strong agonistic T-cell receptor ligands provided under subimmunogenic conditions functions as a critical means for the efficient de novo conversion of naive CD4⁺ T cells into Foxp3⁺ Treg cells. The specific induction of Treg cells upon supply of strong-agonistic variants of certain self-antigens could therefore function as a critical instrument in order to achieve safe and specific prevention of autoimmunity such as T1D via the restoration of self-tolerance. Such immunotherapeutic strategies are being developed, and in the case of T1D aim to restrict autoimmunity and β-cell destruction. In this review, we discuss the requirements and opportunities for Treg-based tolerance approaches with the goal of interfering with autoimmune T1D.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 4%
United States 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 11%
Student > Postgraduate 3 11%
Student > Master 3 11%
Other 4 14%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Agricultural and Biological Sciences 8 29%
Immunology and Microbiology 3 11%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Other 3 11%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 February 2014.
All research outputs
#18,365,132
of 22,745,803 outputs
Outputs from BioDrugs
#565
of 646 outputs
Outputs of similar age
#148,321
of 198,653 outputs
Outputs of similar age from BioDrugs
#8
of 10 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 646 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 198,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.