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Oral Biology

Overview of attention for book
Cover of 'Oral Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Salivary Diagnostics Using Purified Nucleic Acids
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    Chapter 2 RNA Sequencing Analysis of Salivary Extracellular RNA
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    Chapter 3 Qualitative and Quantitative Proteome Analysis of Oral Fluids in Health and Periodontal Disease by Mass Spectrometry
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    Chapter 4 Antioxidant Micronutrients and Oxidative Stress Biomarkers
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    Chapter 5 NMR-Based Metabolomics of Oral Biofluids
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    Chapter 6 Gene Therapy of Salivary Diseases
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    Chapter 7 The Oral Microbiota in Health and Disease: An Overview of Molecular Findings
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    Chapter 8 Microbial Community Profiling Using Terminal Restriction Fragment Length Polymorphism (T-RFLP) and Denaturing Gradient Gel Electrophoresis (DGGE)
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    Chapter 9 Analysis of 16S rRNA Gene Amplicon Sequences Using the QIIME Software Package
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    Chapter 10 Adhesion of Yeast and Bacteria to Oral Surfaces
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    Chapter 11 Quantitative Analysis of Periodontal Pathogens Using Real-Time Polymerase Chain Reaction (PCR)
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    Chapter 12 Methods to Study Antagonistic Activities Among Oral Bacteria
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    Chapter 13 Natural Transformation of Oral Streptococci by Use of Synthetic Pheromones
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    Chapter 14 Markerless Genome Editing in Competent Streptococci
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    Chapter 15 Tools and Strategies for Analysis of Genome-Wide and Gene-Specific DNA Methylation Patterns
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    Chapter 16 Generating Multiple Base-Resolution DNA Methylomes Using Reduced Representation Bisulfite Sequencing
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    Chapter 17 A Protocol for the Determination of the Methylation Status of Gingival Tissue DNA at Specific CpG Islands
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    Chapter 18 Genome-Wide Analysis of Periodontal and Peri-Implant Cells and Tissues
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    Chapter 19 Differential Expression and Functional Analysis of High-Throughput -Omics Data Using Open Source Tools
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    Chapter 20 Exploring Genome-Wide Expression Profiles Using Machine Learning Techniques
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    Chapter 21 Embryonic Explant Culture: Studying Effects of Regulatory Molecules on Gene Expression in Craniofacial Tissues
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    Chapter 22 Oral Epithelial Cell Culture Model for Studying the Pathogenesis of Chronic Inflammatory Disease
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    Chapter 23 Fabrication and Characterization of Decellularized Periodontal Ligament Cell Sheet Constructs
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    Chapter 24 A Method to Isolate, Purify, and Characterize Human Periodontal Ligament Stem Cells
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    Chapter 25 Constructing Tissue Microarrays: Protocols and Methods Considering Potential Advantages and Disadvantages for Downstream Use
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    Chapter 26 Growing Adipose-Derived Stem Cells Under Serum-Free Conditions
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    Chapter 27 Quantitative Real-Time Gene Profiling of Human Alveolar Osteoblasts
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    Chapter 28 Proteomic Analysis of Dental Tissue Microsamples
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    Chapter 29 Characterization, Quantification, and Visualization of Neutrophil Extracellular Traps
Attention for Chapter 7: The Oral Microbiota in Health and Disease: An Overview of Molecular Findings
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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2 X users

Citations

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Chapter title
The Oral Microbiota in Health and Disease: An Overview of Molecular Findings
Chapter number 7
Book title
Oral Biology
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6685-1_7
Pubmed ID
Book ISBNs
978-1-4939-6683-7, 978-1-4939-6685-1
Authors

José F. Siqueira Jr. D.D.S., M.Sc., Ph.D., Isabela N. Rôças, José F. Siqueira

Editors

Gregory J. Seymour, Mary P. Cullinan, Nicholas C.K. Heng

Abstract

Culture-independent nucleic acid technologies have been extensively applied to the analysis of oral bacterial communities associated with healthy and diseased conditions. These methods have confirmed and substantially expanded the findings from culture studies to reveal the oral microbial inhabitants and candidate pathogens associated with the major oral diseases. Over 1000 bacterial distinct species-level taxa have been identified in the oral cavity and studies using next-generation DNA sequencing approaches indicate that the breadth of bacterial diversity may be even much larger. Nucleic acid technologies have also been helpful in profiling bacterial communities and identifying disease-related patterns. This chapter provides an overview of the diversity and taxonomy of oral bacteria associated with health and disease.

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Belgium 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Researcher 7 11%
Student > Bachelor 7 11%
Student > Ph. D. Student 6 10%
Student > Postgraduate 3 5%
Other 9 15%
Unknown 20 32%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Immunology and Microbiology 9 15%
Biochemistry, Genetics and Molecular Biology 6 10%
Agricultural and Biological Sciences 6 10%
Nursing and Health Professions 3 5%
Other 4 6%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 January 2018.
All research outputs
#4,003,421
of 22,908,162 outputs
Outputs from Methods in molecular biology
#1,038
of 13,132 outputs
Outputs of similar age
#79,889
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#119
of 1,074 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% 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 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.