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Immunogenetics

Overview of attention for book
Attention for Chapter: cfDNA-Based NGS IG Analysis in Lymphoma
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  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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3 tweeters

Citations

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2 Dimensions

Readers on

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1 Mendeley
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Chapter title
cfDNA-Based NGS IG Analysis in Lymphoma
Book title
Immunogenetics
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-2115-8_7
Pubmed ID
Book ISBNs
978-1-07-162114-1, 978-1-07-162115-8
Authors

Pott, Christiane, Kotrova, Michaela, Darzentas, Nikos, Brüggemann, Monika, Khouja, Mouhamad, , , Christiane Pott, Michaela Kotrova, Nikos Darzentas, Monika Brüggemann, Mouhamad Khouja

Abstract

Liquid biopsy is a novel diagnostic approach at first developed to characterize the molecular profile of solid tumors by analyzing body fluids. For cancer patients, it represents a noninvasive way to monitor the status of the solid tumor with respect to representative biomarkers. There is growing interest in the utilization of circulating tumor DNA (ctDNA) analysis also in the diagnostic and prognostic fields of lymphomas. Clonal immunoglobulin (IG) gene rearrangements are fingerprints of the respective lymphoid malignancy and thus are highly suited as specific molecular targets for minimal residual disease (MRD) detection. Tracing of the clonal IG rearrangement patterns in ctDNA pool during treatment can be used for MRD assessment in B-cell lymphomas. Here, we describe a reproducible next-generation sequencing assay to identify and characterize clonal IG gene rearrangements for MRD detection in cell-free DNA.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 28 May 2022.
All research outputs
#14,069,104
of 22,551,053 outputs
Outputs from Methods in molecular biology
#4,105
of 12,965 outputs
Outputs of similar age
#257,454
of 510,965 outputs
Outputs of similar age from Methods in molecular biology
#419
of 1,735 outputs
Altmetric has tracked 22,551,053 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,965 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 65% 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 510,965 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,735 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 72% of its contemporaries.