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Immunogenicity of Anti-TNF-α Biotherapies: II. Clinical Relevance of Methods Used for Anti-Drug Antibody Detection

Overview of attention for article published in Frontiers in immunology, April 2015
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Title
Immunogenicity of Anti-TNF-α Biotherapies: II. Clinical Relevance of Methods Used for Anti-Drug Antibody Detection
Published in
Frontiers in immunology, April 2015
DOI 10.3389/fimmu.2015.00109
Pubmed ID
Authors

Klaus Bendtzen

Abstract

Immunogenicity of biopharmaceuticals is complex and influenced by both structural and pharmacological factors, and by patient-related conditions such as disease being treated, previous and concomitant therapies, and individual immune responsiveness. Essential for tailored therapeutic strategies based on immunopharmacological evidence from individual patients (personalized medicine) is the use of assays for anti-drug antibodies (ADA) that are accurate and relevant in the clinical setting. This paper discusses immunogenicity of genetically engineered immunoglobulins directed against tumor-necrosis factor-α (TNF). Emphasis will be on commonly used methods for detection of ADA in human serum including issues that question the clinical applicability of these methodologies. The use of dubious assays for ADA in a clinical context may not only contribute to confusion as to the importance of drug immunogenicity but may also prevent development of safe and cost-effective ways of using biological TNF-antagonists.

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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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 119 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 22%
Student > Master 18 15%
Student > Ph. D. Student 17 14%
Student > Bachelor 10 8%
Other 10 8%
Other 15 13%
Unknown 24 20%
Readers by discipline Count As %
Medicine and Dentistry 33 28%
Pharmacology, Toxicology and Pharmaceutical Science 15 13%
Agricultural and Biological Sciences 10 8%
Biochemistry, Genetics and Molecular Biology 9 8%
Immunology and Microbiology 8 7%
Other 14 12%
Unknown 31 26%
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 08 April 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Frontiers in immunology
#24,737
of 31,513 outputs
Outputs of similar age
#208,161
of 279,935 outputs
Outputs of similar age from Frontiers in immunology
#118
of 149 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,513 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 13th percentile – i.e., 13% 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 279,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.