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Gene Essentiality

Overview of attention for book
Cover of 'Gene Essentiality'

Table of Contents

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    Book Overview
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    Chapter 1 Microarray Transposon Tracking for the Mapping of Conditionally Essential Genes in Campylobacter jejuni.
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    Chapter 2 Identifying Essential Streptococcus sanguinis Genes Using Genome-Wide Deletion Mutation.
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    Chapter 3 Defining Essential Genes and Identifying Virulence Factors of Porphyromonas gingivalis by Massively Parallel Sequencing of Transposon Libraries (Tn-seq).
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    Chapter 4 Identification of Essential Genes and Synthetic Lethal Gene Combinations in Escherichia coli K-12.
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    Chapter 5 Identification of genes essential for leptospirosis.
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    Chapter 6 Identifying Essential Genes in Mycobacterium tuberculosis by Global Phenotypic Profiling.
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    Chapter 7 Essential Genes in the Infection Model of Pseudomonas aeruginosa-PCR-Based Signature-Tagged Mutagenesis.
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    Chapter 8 Genome-Wide Synthetic Genetic Screening by Transposon Mutagenesis in Candida albicans.
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    Chapter 9 An Integrated Machine-Learning Model to Predict Prokaryotic Essential Genes
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    Chapter 10 A Statistical Framework for Improving Genomic Annotations of Transposon Mutagenesis (TM) Assigned Essential Genes.
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    Chapter 11 A Proposed Essential Gene Discovery Pipeline: A Campylobacter jejuni Case Study
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    Chapter 12 Computational prediction of essential metabolic genes using constraint-based approaches.
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    Chapter 13 Three computational tools for predicting bacterial essential genes.
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    Chapter 14 Gene Essentiality Analysis Based on DEG 10, an Updated Database of Essential Genes.
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    Chapter 15 Discovering essential domains in essential genes.
Attention for Chapter 6: Identifying Essential Genes in Mycobacterium tuberculosis by Global Phenotypic Profiling.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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2 Wikipedia pages

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83 Mendeley
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Chapter title
Identifying Essential Genes in Mycobacterium tuberculosis by Global Phenotypic Profiling.
Chapter number 6
Book title
Gene Essentiality
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2398-4_6
Pubmed ID
Book ISBNs
978-1-4939-2397-7, 978-1-4939-2398-4
Authors

Long JE, DeJesus M, Ward D, Baker RE, Ioerger T, Sassetti CM, Jarukit E. Long, Michael DeJesus, Doyle Ward, Richard E. Baker, Thomas Ioerger, Christopher M. Sassetti, Long, Jarukit E., DeJesus, Michael, Ward, Doyle, Baker, Richard E., Ioerger, Thomas, Sassetti, Christopher M.

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

Geographical breakdown

Country Count As %
South Africa 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 27%
Researcher 14 17%
Student > Master 12 14%
Student > Bachelor 6 7%
Student > Doctoral Student 4 5%
Other 11 13%
Unknown 14 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 25%
Agricultural and Biological Sciences 19 23%
Immunology and Microbiology 17 20%
Medicine and Dentistry 3 4%
Computer Science 2 2%
Other 6 7%
Unknown 15 18%
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 12 July 2017.
All research outputs
#7,216,867
of 22,813,792 outputs
Outputs from Methods in molecular biology
#2,196
of 13,118 outputs
Outputs of similar age
#100,522
of 353,098 outputs
Outputs of similar age from Methods in molecular biology
#159
of 996 outputs
Altmetric has tracked 22,813,792 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 13,118 research outputs from this source. They receive a mean Attention Score of 3.4. 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 353,098 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 70% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.