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BRepertoire: a user-friendly web server for analysing antibody repertoire data

Overview of attention for article published in Nucleic Acids Research, April 2018
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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3 X users
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1 Wikipedia page

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55 Mendeley
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Article details
Title
BRepertoire: a user-friendly web server for analysing antibody repertoire data
Published in
Nucleic Acids Research, April 2018
DOI 10.1093/nar/gky276
Pubmed ID
Authors
Abstract

Antibody repertoire analysis by high throughput sequencing is now widely used, but a persisting challenge is enabling immunologists to explore their data to discover discriminating repertoire features for their own particular investigations. Computational methods are necessary for large-scale evaluation of antibody properties. We have developed BRepertoire, a suite of user-friendly web-based software tools for large-scale statistical analyses of repertoire data. The software is able to use data preprocessed by IMGT, and performs statistical and comparative analyses with versatile plotting options. BRepertoire has been designed to operate in various modes, for example analysing sequence-specific V(D)J gene usage, discerning physico-chemical properties of the CDR regions and clustering of clonotypes. Those analyses are performed on the fly by a number of R packages and are deployed by a shiny web platform. The user can download the analysed data in different table formats and save the generated plots as image files ready for publication. We believe BRepertoire to be a versatile analytical tool that complements experimental studies of immune repertoires. To illustrate the server's functionality, we show use cases including differential gene usage in a vaccination dataset and analysis of CDR3H properties in old and young individuals. The server is accessible under http://mabra.biomed.kcl.ac.uk/BRepertoire.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 8 15%
Professor > Associate Professor 4 7%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 8 15%
Unknown 18 33%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 29%
Medicine and Dentistry 5 9%
Computer Science 4 7%
Immunology and Microbiology 3 5%
Agricultural and Biological Sciences 2 4%
Other 4 7%
Unknown 21 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 September 2023.
All research outputs
#6,134,906
of 24,404,997 outputs
Outputs from Nucleic Acids Research
#10,732
of 27,131 outputs
Outputs of similar age
#100,139
of 331,446 outputs
Outputs of similar age from Nucleic Acids Research
#106
of 261 outputs
Altmetric has tracked 24,404,997 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 27,131 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 60% 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 331,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 261 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.