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Sequence analysis of T-cell repertoires in health and disease

Overview of attention for article published in Genome Medicine, October 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 blog
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2 X users
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2 patents

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351 Mendeley
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1 CiteULike
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Title
Sequence analysis of T-cell repertoires in health and disease
Published in
Genome Medicine, October 2013
DOI 10.1186/gm502
Pubmed ID
Authors

Daniel J Woodsworth, Mauro Castellarin, Robert A Holt

Abstract

T-cell antigen receptor (TCR) variability enables the cellular immune system to discriminate between self and non-self. High-throughput TCR sequencing (TCR-seq) involves the use of next generation sequencing platforms to generate large numbers of short DNA sequences covering key regions of the TCR coding sequence, which enables quantification of T-cell diversity at unprecedented resolution. TCR-seq studies have provided new insights into the healthy human T-cell repertoire, such as revised estimates of repertoire size and the understanding that TCR specificities are shared among individuals more frequently than previously anticipated. In the context of disease, TCR-seq has been instrumental in characterizing the recovery of the immune repertoire after hematopoietic stem cell transplantation, and the method has been used to develop biomarkers and diagnostics for various infectious and neoplastic diseases. However, T-cell repertoire sequencing is still in its infancy. It is expected that maturation of the field will involve the introduction of improved, standardized tools for data handling, deposition and statistical analysis, as well as the emergence of new and equivalently large-scale technologies for T-cell functional analysis and antigen discovery. In this review, we introduce this nascent field and TCR-seq methodology, we discuss recent insights into healthy and diseased TCR repertoires, and we examine the applications and challenges for TCR-seq in the clinic.

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

Geographical breakdown

Country Count As %
United States 5 1%
Germany 2 <1%
United Kingdom 2 <1%
Norway 1 <1%
South Africa 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Unknown 338 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 90 26%
Student > Ph. D. Student 78 22%
Student > Master 35 10%
Other 29 8%
Student > Bachelor 21 6%
Other 49 14%
Unknown 49 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 25%
Biochemistry, Genetics and Molecular Biology 74 21%
Immunology and Microbiology 48 14%
Medicine and Dentistry 47 13%
Computer Science 9 3%
Other 28 8%
Unknown 56 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 17 October 2023.
All research outputs
#2,367,637
of 25,371,288 outputs
Outputs from Genome Medicine
#525
of 1,584 outputs
Outputs of similar age
#21,526
of 225,509 outputs
Outputs of similar age from Genome Medicine
#3
of 19 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 66% 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 225,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.