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Systems Metabolic Engineering

Overview of attention for book
Cover of 'Systems Metabolic Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Genome-Scale Model Management and Comparison
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    Chapter 2 Automated Genome Annotation and Metabolic Model Reconstruction in the SEED and Model SEED
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    Chapter 3 Metabolic Model Refinement Using Phenotypic Microarray Data
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    Chapter 4 Linking genome-scale metabolic modeling and genome annotation.
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    Chapter 5 Resolving Cell Composition Through Simple Measurements, Genome-Scale Modeling, and a Genetic Algorithm
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    Chapter 6 A Guide to Integrating Transcriptional Regulatory and Metabolic Networks Using PROM (Probabilistic Regulation of Metabolism)
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    Chapter 7 Kinetic Modeling of Metabolic Pathways: Application to Serine Biosynthesis
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    Chapter 8 Computational tools for guided discovery and engineering of metabolic pathways.
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    Chapter 9 Retrosynthetic design of heterologous pathways.
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    Chapter 10 Customized Optimization of Metabolic Pathways by Combinatorial Transcriptional Engineering
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    Chapter 11 Adaptive Laboratory Evolution for Strain Engineering
  13. Altmetric Badge
    Chapter 12 Systems Metabolic Engineering
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    Chapter 13 Identification of Mutations in Evolved Bacterial Genomes
  15. Altmetric Badge
    Chapter 14 Discovery of Posttranscriptional Regulatory RNAs Using Next Generation Sequencing Technologies
  16. Altmetric Badge
    Chapter 15 13 C-Based Metabolic Flux Analysis: Fundamentals and Practice
  17. Altmetric Badge
    Chapter 16 Nuclear Magnetic Resonance Methods for Metabolic Fluxomics
  18. Altmetric Badge
    Chapter 17 Using Multiple Tracers for 13 C Metabolic Flux Analysis
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    Chapter 18 Isotopically Nonstationary 13 C Metabolic Flux Analysis
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    Chapter 19 Sample Preparation and Biostatistics for Integrated Genomics Approaches
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    Chapter 20 Targeted Metabolic Engineering Guided by Computational Analysis of Single-Nucleotide Polymorphisms (SNPs)
  22. Altmetric Badge
    Chapter 21 Linking RNA Measurements and Proteomics with Genome-Scale Models
  23. Altmetric Badge
    Chapter 22 Comparative Transcriptome Analysis for Metabolic Engineering
  24. Altmetric Badge
    Chapter 23 Merging multiple omics datasets in silico: statistical analyses and data interpretation.
Attention for Chapter 15: 13 C-Based Metabolic Flux Analysis: Fundamentals and Practice
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
33 Mendeley
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Chapter title
13 C-Based Metabolic Flux Analysis: Fundamentals and Practice
Chapter number 15
Book title
Systems Metabolic Engineering
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-299-5_15
Pubmed ID
Book ISBNs
978-1-62703-298-8, 978-1-62703-299-5
Authors

Tae Hoon Yang, Yang, Tae Hoon

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Researcher 6 18%
Student > Bachelor 5 15%
Student > Master 4 12%
Student > Doctoral Student 2 6%
Other 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 33%
Biochemistry, Genetics and Molecular Biology 6 18%
Engineering 5 15%
Chemistry 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 4 12%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 September 2023.
All research outputs
#7,746,777
of 23,556,846 outputs
Outputs from Methods in molecular biology
#2,425
of 13,398 outputs
Outputs of similar age
#85,963
of 284,881 outputs
Outputs of similar age from Methods in molecular biology
#91
of 338 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,398 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 284,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 338 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 55% of its contemporaries.