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The Application of Next Generation Sequencing to the Understanding of Antibody Repertoires

Overview of attention for article published in Frontiers in immunology, January 2013
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Title
The Application of Next Generation Sequencing to the Understanding of Antibody Repertoires
Published in
Frontiers in immunology, January 2013
DOI 10.3389/fimmu.2013.00265
Pubmed ID
Authors

Pascale Mathonet, Christopher G. Ullman

Abstract

In the decade since the human genome sequence was declared complete, the development of next generation sequencing (NGS) or "deep" sequencing to deliver cost-effective genomic sequencing has influenced advances beyond its primary application and changed the research landscape in many other areas. This review will survey recent applications of NGS which have broadened the understanding of natural antibody repertoires (the "antibodyome") and how these evolve in response to viral infection. We will also report examples where deep sequencing of binding populations, derived from both natural and synthetic repertoires, have been used to benefit antibody engineering. This knowledge will ultimately lead to the design of more effective biological drugs and vaccines.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Italy 2 1%
United States 2 1%
Brazil 1 <1%
Netherlands 1 <1%
India 1 <1%
France 1 <1%
Unknown 144 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 34%
Student > Ph. D. Student 34 22%
Student > Master 16 10%
Other 14 9%
Student > Doctoral Student 6 4%
Other 17 11%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 39%
Biochemistry, Genetics and Molecular Biology 28 18%
Medicine and Dentistry 14 9%
Immunology and Microbiology 13 8%
Chemistry 6 4%
Other 13 8%
Unknown 21 14%
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 12 September 2013.
All research outputs
#20,015,146
of 25,461,852 outputs
Outputs from Frontiers in immunology
#22,671
of 31,698 outputs
Outputs of similar age
#221,740
of 289,411 outputs
Outputs of similar age from Frontiers in immunology
#240
of 503 outputs
Altmetric has tracked 25,461,852 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 31,698 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 289,411 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.