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Metagenomics

Overview of attention for book
Cover of 'Metagenomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Construction of Small-Insert and Large-Insert Metagenomic Libraries
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    Chapter 2 Extraction of Total DNA and RNA from Marine Filter Samples and Generation of a Universal cDNA as Universal Template for Marker Gene Studies
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    Chapter 3 Functional Metagenomics as a Tool to Tap into Natural Diversity of Valuable Biotechnological Compounds
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    Chapter 4 Functional and Sequence-Specific Screening Protocols for the Detection of Novel Antimicrobial Resistance Genes in Metagenomic DNA
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    Chapter 5 Identification of PKS Gene Clusters from Metagenomic Libraries Using a Next-Generation Sequencing Approach
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    Chapter 6 Activity-Based Screening of Metagenomic Fosmid Libraries for Hydrogen-Uptake Enzymes
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    Chapter 7 Functional Metagenomics Approach for the Discovery of Novel Genes Encoding Phosphatase Activity
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    Chapter 8 Isolation of Genes Encoding Carbon Metabolism Pathways from Complex Microbial Communities
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    Chapter 9 Screening Metagenomes for Algae Cell Wall Carbohydrates Degrading Hydrolases in Enrichment Cultures
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    Chapter 10 The PET-Degrading Potential of Global Metagenomes: From In Silico Mining to Active Enzymes
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    Chapter 11 High-Throughput Screening for Thermostable Polyester Hydrolases
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    Chapter 12 Metagenomic Screening of a Novel PET Esterase via In Vitro Expression System
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    Chapter 13 Assigning Functions of Unknown Enzymes by High-Throughput Enzyme Characterization
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    Chapter 14 Isolation of a Host-Confined Phage Metagenome Allows the Detection of Phages Both Capable and Incapable of Plaque Formation
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    Chapter 15 CRISPR-Cas9 Shaped Viral Metagenomes Associated with Bacillus subtilis
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    Chapter 16 Cloning and Expression of Metagenomic DNA in Streptomyces lividans and Its Subsequent Fermentation for Optimized Production
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    Chapter 17 DNA-, RNA-, and Protein-Based Stable-Isotope Probing for High-Throughput Biomarker Analysis of Active Microorganisms.
Attention for Chapter 3: Functional Metagenomics as a Tool to Tap into Natural Diversity of Valuable Biotechnological Compounds
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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6 X users

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Chapter title
Functional Metagenomics as a Tool to Tap into Natural Diversity of Valuable Biotechnological Compounds
Chapter number 3
Book title
Metagenomics
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2795-2_3
Pubmed ID
36306077
Book ISBNs
978-1-07-162794-5, 978-1-07-162795-2
Authors

Weiland-Bräuer, Nancy, Saleh, Livía, Schmitz, Ruth A.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Earth and Planetary Sciences 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 November 2022.
All research outputs
#7,951,802
of 24,811,594 outputs
Outputs from Methods in molecular biology
#2,393
of 13,915 outputs
Outputs of similar age
#146,268
of 465,944 outputs
Outputs of similar age from Methods in molecular biology
#69
of 719 outputs
Altmetric has tracked 24,811,594 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 13,915 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 82% 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 465,944 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 719 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 90% of its contemporaries.

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