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Non-Hodgkin Lymphoma

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Attention for Chapter 4: Gene expression profiling in non-hodgkin lymphomas.
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Chapter title
Gene expression profiling in non-hodgkin lymphomas.
Chapter number 4
Book title
Non-Hodgkin Lymphoma
Published in
Cancer treatment and research, January 2015
DOI 10.1007/978-3-319-13150-4_4
Pubmed ID
Book ISBNs
978-3-31-913149-8, 978-3-31-913150-4
Authors

Joo Y Song, Jianbo Yu, Wing C Chan, Joo Y. Song, Wing C. Chan, Song, Joo Y., Yu, Jianbo, Chan, Wing C.

Abstract

Although the current WHO classification (Swerdlow et al. WHO classification of tumours of haematopoietic and lymphoid tissues. International Agency for Research on Cancer, Lyon, 2008 [1]) for hematolymphoid neoplasms has delineated lymphomas based on the combined morphologic, immunophenotypic, and genotypic findings, further refinement is necessary especially in regard to therapeutics and prognostic implications. High-throughput gene expression profiling (GEP) using microarray technology (Schena et al. Science 270:467-470, 1995 [2]; Augenlicht et al. Proc Natl Acad Sci USA 88:3286-3289, 1991 [3]) was developed about 20 years ago, and further refinement of the technology and analytical approaches has enabled us to routinely evaluate practically the entire transcriptome at a time. GEP has helped to improve the classification and prognostication of non-Hodgkin lymphomas (NHL) as well as improved our understanding of their pathophysiology and response to new therapeutics. In this paper, we will briefly review how this revolutionary tool has transformed our understanding of lymphomas and given us insight into targeted therapeutics. We will also discuss the current efforts in adapting the findings to routine clinical practice, the evolution of the research technology and directions in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 30%
Student > Doctoral Student 2 10%
Researcher 2 10%
Student > Ph. D. Student 2 10%
Professor 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Medicine and Dentistry 6 30%
Agricultural and Biological Sciences 3 15%
Biochemistry, Genetics and Molecular Biology 2 10%
Immunology and Microbiology 1 5%
Environmental Science 1 5%
Other 2 10%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2015.
All research outputs
#15,321,186
of 22,787,797 outputs
Outputs from Cancer treatment and research
#91
of 165 outputs
Outputs of similar age
#208,845
of 352,981 outputs
Outputs of similar age from Cancer treatment and research
#10
of 17 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 165 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 31st percentile – i.e., 31% 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 352,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.