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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.
  16. Altmetric Badge
    Chapter 15 Discovering essential domains in essential genes.
Attention for Chapter 14: Gene Essentiality Analysis Based on DEG 10, an Updated Database of Essential Genes.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

wikipedia
5 Wikipedia pages

Citations

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3 Dimensions

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30 Mendeley
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Chapter title
Gene Essentiality Analysis Based on DEG 10, an Updated Database of Essential Genes.
Chapter number 14
Book title
Gene Essentiality
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2398-4_14
Pubmed ID
Book ISBNs
978-1-4939-2397-7, 978-1-4939-2398-4
Authors

Feng Gao, Hao Luo, Chun-Ting Zhang, Ren Zhang, Gao F, Luo H, Zhang CT, Zhang R, Gao, Feng, Luo, Hao, Zhang, Chun-Ting, Zhang, Ren

Abstract

The database of essential genes (DEG, available at http://www.essentialgene.org ), constructed in 2003, has been timely updated to harbor essential-gene records of bacteria, archaea, and eukaryotes. DEG 10, the current release, includes not only essential protein-coding genes determined by genome-wide gene essentiality screens but also essential noncoding RNAs, promoters, regulatory sequences, and replication origins. Therefore, DEG 10 includes essential genomic elements under different conditions in three domains of life, with customizable BLAST tools. Based on the analysis of DEG 10, we show that the percentage of essential genes in bacterial genomes exhibits an exponential decay with increasing genome sizes. The functions, ATP binding (GO:0005524), GTP binding (GO:0005525), and DNA-directed RNA polymerase activity (GO:0003899), are likely required for organisms across life domains.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Student > Master 5 17%
Researcher 3 10%
Student > Bachelor 2 7%
Other 2 7%
Other 3 10%
Unknown 9 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 33%
Agricultural and Biological Sciences 6 20%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 11 37%
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 09 August 2023.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Methods in molecular biology
#2,316
of 13,094 outputs
Outputs of similar age
#105,652
of 352,967 outputs
Outputs of similar age from Methods in molecular biology
#168
of 996 outputs
Altmetric has tracked 22,783,848 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 13,094 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 352,967 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 54% 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 78% of its contemporaries.