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Environmental Microbiology

Overview of attention for book
Cover of 'Environmental Microbiology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Environmental Microbiology
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    Chapter 2 Rapid Extraction of PCR-Competent DNA from Recalcitrant Environmental Samples
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    Chapter 3 Quantitative PCR for Detection of mRNA and gDNA in Environmental Isolates.
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    Chapter 4 Analysis of Community Dynamics in Environmental Samples Using Denaturing Gradient Gel Electrophoresis
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    Chapter 5 Terminal Restriction Fragment Length Polymorphism (T-RFLP) Profiling of Bacterial 16S rRNA Genes
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    Chapter 6 Environmental Microbiology
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    Chapter 7 Human Fecal Source Identification with Real-Time Quantitative PCR
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    Chapter 8 Next Generation Barcode Tagged Sequencing for Monitoring Microbial Community Dynamics
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    Chapter 9 Analysis of Methanotroph Community Structure Using a pmoA-Based Microarray.
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    Chapter 10 Biolog Phenotype MicroArrays for Phenotypic Characterization of Microbial Cells.
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    Chapter 11 Visualization of Metabolic Properties of Bacterial Cells Using Nanoscale Secondary Ion Mass Spectrometry (NanoSIMS)
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    Chapter 12 Environmental Microbiology
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    Chapter 13 Environmental Microbiology
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    Chapter 14 Stable Isotope Probing to Study Functional Components of Complex Microbial Ecosystems
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    Chapter 15 Metagenomics Using Next-Generation Sequencing
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    Chapter 16 Targeted Genomics of Flow Cytometrically Sorted Cultured and Uncultured Microbial Groups
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    Chapter 17 Quantitative microbial metatranscriptomics.
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    Chapter 18 Quantitative metaproteomics: functional insights into microbial communities.
Attention for Chapter 9: Analysis of Methanotroph Community Structure Using a pmoA-Based Microarray.
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Chapter title
Analysis of Methanotroph Community Structure Using a pmoA-Based Microarray.
Chapter number 9
Book title
Environmental Microbiology
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-712-9_9
Pubmed ID
24515364
Book ISBNs
978-1-62703-711-2, 978-1-62703-712-9
Authors

Guy C. J. Abell, Nancy Stralis-Pavese, Yao Pan, Levente Bodrossy, Abell, Guy C. J., Stralis-Pavese, Nancy, Pan, Yao, Bodrossy, Levente

Editors

Ian T. Paulsen, Andrew J. Holmes

Abstract

The analysis of methanotroph community composition is relevant to studies of methane oxidation in a number of environments where methane is a significant carbon source. The development and application of a microarray targeting the particulate methane monooxygenase gene (pmoA) have allowed a high-throughput, semiquantitative analysis of the major methanotroph groups in a number of different environments. Here we describe the use of a pmoA-based short oligo array for the analysis of methanotroph populations in sediment samples. The method is suitable for analysis of any type of environmental sample from which DNA can be extracted.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 2 22%
Researcher 2 22%
Professor 1 11%
Student > Bachelor 1 11%
Other 0 0%
Readers by discipline Count As %
Environmental Science 3 33%
Agricultural and Biological Sciences 2 22%
Immunology and Microbiology 1 11%
Materials Science 1 11%
Engineering 1 11%
Other 0 0%
Unknown 1 11%
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 05 March 2014.
All research outputs
#18,961,244
of 23,498,099 outputs
Outputs from Methods in molecular biology
#8,168
of 13,368 outputs
Outputs of similar age
#233,208
of 308,917 outputs
Outputs of similar age from Methods in molecular biology
#304
of 587 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 23rd percentile – i.e., 23% 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 308,917 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 587 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.

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