Report for: Immunogenetics

You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.

Chapter title	Immunoglobulin/T-Cell Receptor Gene Rearrangement Analysis Using RNA-Seq
Book title	Immunogenetics
Published in	Methods in molecular biology, January 2022
DOI	10.1007/978-1-0716-2115-8_4
Pubmed ID	35622320
Book ISBNs	978-1-07-162114-1, 978-1-07-162115-8
Authors	van der Velden, Vincent H J, Bastian, Lorenz, Brüggemann, Monika, Hartmann, Alina M, Darzentas, Nikos, Vincent H. J. van der Velden, Lorenz Bastian, Monika Brüggemann, Alina M. Hartmann, Nikos Darzentas
Abstract	Identification of immunoglobulin (IG) and T-cell receptor (TR) gene rearrangements in acute lymphoblastic leukemia (ALL) patients at initial presentation are crucial for monitoring of minimal residual disease (MRD) during subsequent follow-up and thereby for appropriate risk-group stratification. Here we describe how RNA-Seq data can be generated and subsequently analyzed with ARResT/Interrogate to identify possible MRD markers. In addition to the procedures, possible pitfalls will be discussed. Similar strategies can be employed for other lymphoid malignancies, such as lymphoma and myeloma.

View on publisher site Alert me about new mentions

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.

Geographical breakdown

Country	Count	As %
Unknown	2	100%

Demographic breakdown

Type	Count	As %
Members of the public	2	100%

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	4	100%

Demographic breakdown

Readers by professional status	Count	As %
Researcher	1	25%
Unknown	3	75%

Readers by discipline	Count	As %
Medicine and Dentistry	1	25%
Unknown	3	75%

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

#13,750,494

of 23,312,088 outputs

Outputs from Methods in molecular biology

#3,721

of 13,318 outputs

Outputs of similar age

#216,789

of 507,944 outputs

Outputs of similar age from Methods in molecular biology

#118

of 594 outputs

Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.

So far Altmetric has tracked 13,318 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 507,944 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 55% of its contemporaries.

We're also able to compare this research output to 594 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.

Immunogenetics

Table of Contents

About this Attention Score

Mentioned by

Citations

Readers on

X Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context