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Pathophysiology and molecular aspects of diffuse large B-cell lymphoma

Overview of attention for article published in Revista Brasileira de Hematologia e Hemoterapia, January 2012
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1 policy source

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225 Mendeley
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Article details
Title
Pathophysiology and molecular aspects of diffuse large B-cell lymphoma
Published in
Revista Brasileira de Hematologia e Hemoterapia, January 2012
DOI 10.5581/1516-8484.20120111
Pubmed ID
Authors
Abstract

Diffuse large B-Cell lymphoma is the most common subtype of non-Hodgkin lymphoma in the West. In Brazil, it is the fifth cause of cancer, with more than 55,000 cases and 26,000 deaths per year. At Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo - HCFMUSP, diffuse large B-Cell lymphoma represents 49.7% of all non-Hodgkin lymphoma cases. Initially, the classification of non-Hodgkin lymphoma was based on morphology, but advances in immunology and molecular medicine allowed the introduction of a biological classification for these diseases. As for other cancers, non-Hodgkin lymphoma involves patterns of multifactorial pathogenesis with environmental factors, as well as genetic, occupational and dietary factors, contributing to its development. Multiple lesions involving molecular pathways of B-cell proliferation and differentiation may result in the activation of oncogenes such as the BCL2, BCL6, and MYC genes and the inactivation of tumor suppressor genes such as p53 and INK4, as well as other important transcription factors such as OCT-1 and OCT-2. A dramatic improvement in survival was seen after the recent introduction of the anti-CD20 monoclonal antibody. The association of this antibody to the cyclophosphamide, hydroxydaunorubicin, oncovin and prednisolone (CHOP) regimen has increased overall survival of diffuse large B-Cell lymphoma and follicular lymphoma patients by 20%. However, 50% of all diffuse large B-Cell lymphoma patients remain incurable, creating a demand for more research with new advances in treatment. Thus, it is important to know and understand the key factors and molecular pathways involved in the pathogenesis of diffuse large B-Cell lymphoma.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Unknown 224 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 50 22%
Student > Master 25 11%
Student > Postgraduate 12 5%
Student > Doctoral Student 11 5%
Student > Ph. D. Student 11 5%
Other 23 10%
Unknown 93 41%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 57 25%
Biochemistry, Genetics and Molecular Biology 28 12%
Pharmacology, Toxicology and Pharmaceutical Science 12 5%
Agricultural and Biological Sciences 8 4%
Nursing and Health Professions 7 3%
Other 17 8%
Unknown 96 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 September 2018.
All research outputs
#9,515,244
of 27,777,630 outputs
Outputs from Revista Brasileira de Hematologia e Hemoterapia
#14
of 61 outputs
Outputs of similar age
#79,660
of 259,680 outputs
Outputs of similar age from Revista Brasileira de Hematologia e Hemoterapia
#1
of 8 outputs
Altmetric has tracked 27,777,630 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 63% 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 259,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them