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Oral Biology

Overview of attention for book
Cover of 'Oral Biology'

Table of Contents

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    Book Overview
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    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
Overall attention for this book and its chapters
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
31 X users
facebook
2 Facebook pages

Readers on

mendeley
35 Mendeley
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.
Title
Oral Biology
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6685-1
ISBNs
978-1-4939-6683-7, 978-1-4939-6685-1
Editors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Professor > Associate Professor 5 14%
Student > Doctoral Student 4 11%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Other 5 14%
Unknown 7 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Medicine and Dentistry 8 23%
Agricultural and Biological Sciences 6 17%
Immunology and Microbiology 2 6%
Materials Science 1 3%
Other 1 3%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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
#1,504,946
of 25,711,518 outputs
Outputs from Methods in molecular biology
#170
of 14,332 outputs
Outputs of similar age
#30,137
of 423,842 outputs
Outputs of similar age from Methods in molecular biology
#21
of 1,088 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,332 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 98% 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 423,842 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1,088 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.