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Human T-Lymphotropic Viruses

Overview of attention for book
Cover of 'Human T-Lymphotropic Viruses'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Serological and Molecular Methods to Study Epidemiological Aspects of Human T-Cell Lymphotropic Virus Type 1 Infection
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    Chapter 2 Molecular Epidemiology Database for Sequence Management and Data Mining
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    Chapter 3 Reporter Systems to Study HTLV-1 Transmission
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    Chapter 4 Quantitative Analysis of Human T-Lymphotropic Virus Type 1 (HTLV-1) Infection Using Co-Culture with Jurkat LTR-Luciferase or Jurkat LTR-GFP Reporter Cells
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    Chapter 5 Isolation of Exosomes from HTLV-Infected Cells
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    Chapter 6 A Luciferase Functional Quantitative Assay for Measuring NF-ĸB Promoter Transactivation Mediated by HTLV-1 and HTLV-2 Tax Proteins
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    Chapter 7 Generation of a Tet-On Expression System to Study Transactivation Ability of Tax-2
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    Chapter 8 EGF Uptake and Degradation Assay to Determine the Effect of HTLV Regulatory Proteins on the ESCRT-Dependent MVB Pathway
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    Chapter 9 Methods for Identifying and Examining HTLV-1 HBZ Post-translational Modifications
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    Chapter 10 High-Throughput Mapping and Clonal Quantification of Retroviral Integration Sites
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    Chapter 11 STR Profiling of HTLV-1-Infected Cell Lines
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    Chapter 12 Expression of HTLV-1 Genes in T-Cells Using RNA Electroporation
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    Chapter 13 Quantification of Cell Turnover in the Bovine Leukemia Virus Model
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    Chapter 14 Analysis of NK Cell Function and Receptor Expression During HTLV-1 and HTLV-2 Infection
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    Chapter 15 Overview of Targeted Therapies for Adult T-Cell Leukemia/Lymphoma
Attention for Chapter 2: Molecular Epidemiology Database for Sequence Management and Data Mining
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  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Chapter title
Molecular Epidemiology Database for Sequence Management and Data Mining
Chapter number 2
Book title
Human T-Lymphotropic Viruses
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6872-5_2
Pubmed ID
28357659
Book ISBNs
978-1-4939-6870-1, 978-1-4939-6872-5
Authors

Araújo, Thessika Hialla Almeida, de Almeida Rego, Filipe Ferreira, Alcantara, Luiz Carlos Junior, Thessika Hialla Almeida Araújo, Filipe Ferreira de Almeida Rego, Luiz Carlos Junior Alcantara, Almeida Rego, Filipe Ferreira, Almeida Rego, Filipe Ferreira de

Abstract

A central database to aggregate sequence information from a range of epidemiological aspects including HTLV-1 pathogenesis, origin, and evolutionary dynamic would be useful to scientists and physicians worldwide. This Chapter describes two online tools for studies related to HTLV-1, the HTLV-1 Molecular Epidemiology Database and the HTLV-1 Subtyping Tool. The HTLV-1 Molecular Epidemiology Database is a tool for sequence management and data mining which allows researchers to download sequences with clinical and demographic information. The HTLV-1 Subtyping Tool is an online software used for HTLV-1 genotyping, the algorithm consists in the alignment of a query sequence with a carefully selected set of predefined reference strains, followed by phylogenetic analysis.

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X Demographics

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.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Researcher 2 33%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Medicine and Dentistry 3 50%
Agricultural and Biological Sciences 1 17%
Environmental Science 1 17%
Unknown 1 17%
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 22 February 2018.
All research outputs
#14,339,760
of 22,962,258 outputs
Outputs from Methods in molecular biology
#4,211
of 13,136 outputs
Outputs of similar age
#173,230
of 308,953 outputs
Outputs of similar age from Methods in molecular biology
#77
of 295 outputs
Altmetric has tracked 22,962,258 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 13,136 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 64% 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 308,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 295 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 70% of its contemporaries.

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