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Immune Parameters to Consider When Choosing T-Cell Receptors for Therapy

Overview of attention for article published in Frontiers in immunology, January 2013
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Title
Immune Parameters to Consider When Choosing T-Cell Receptors for Therapy
Published in
Frontiers in immunology, January 2013
DOI 10.3389/fimmu.2013.00229
Pubmed ID
Authors

Scott R. Burrows, John J. Miles

Abstract

T-cell receptor (TCR) therapy has arrived as a realistic treatment option for many human diseases. TCR gene therapy allows for the mass redirection of T-cells against a defined antigen while high affinity TCR engineering allows for the creation of a new class of soluble drugs. However, deciding which TCR blueprint to take forward for gene therapy or engineering is difficult. More than one quintillion TCR combinations can be generated by somatic recombination and we are only now beginning to appreciate that not all are functionally equal. TCRs can exhibit high or low degrees of HLA-restricted cross-reactivity and alloreact against one or a combination of HLA alleles. Identifying TCR candidates with high specificity and minimal cross-reactivity/alloreactivity footprints before engineering is obviously highly desirable. Here we will summarize what we currently know about TCR biology with regard to immunoengineering.

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The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 33%
Researcher 4 17%
Professor 2 8%
Student > Postgraduate 2 8%
Student > Master 2 8%
Other 4 17%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 38%
Immunology and Microbiology 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Medicine and Dentistry 2 8%
Nursing and Health Professions 1 4%
Other 2 8%
Unknown 3 13%
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 13 August 2013.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from Frontiers in immunology
#22,598
of 31,554 outputs
Outputs of similar age
#221,450
of 289,149 outputs
Outputs of similar age from Frontiers in immunology
#240
of 503 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 21st percentile – i.e., 21% 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 289,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
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 is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.