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High-throughput sequencing insights into T-cell receptor repertoire diversity in aging

Overview of attention for article published in Genome Medicine, November 2015
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Title
High-throughput sequencing insights into T-cell receptor repertoire diversity in aging
Published in
Genome Medicine, November 2015
DOI 10.1186/s13073-015-0242-3
Pubmed ID
Authors

Jörg J. Goronzy, Qian Qi, Richard A. Olshen, Cornelia M. Weyand

Abstract

Decline in T-cell generation leading to T-cell receptor repertoire contraction is a cornerstone of immune system aging, and consequent disorders. High-throughput sequencing enables in-depth immune repertoire characterization, but blood samples are too small to capture its total diversity. New computational models could enable accurate estimation of this diversity.

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The data shown below were collected from the profiles of 4 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 24%
Student > Ph. D. Student 17 22%
Student > Master 5 6%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 14 18%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 20%
Medicine and Dentistry 12 15%
Immunology and Microbiology 11 14%
Biochemistry, Genetics and Molecular Biology 11 14%
Computer Science 3 4%
Other 9 11%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 November 2015.
All research outputs
#13,959,398
of 22,833,393 outputs
Outputs from Genome Medicine
#1,254
of 1,442 outputs
Outputs of similar age
#195,423
of 386,484 outputs
Outputs of similar age from Genome Medicine
#35
of 44 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 12th percentile – i.e., 12% 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 386,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.