↓ Skip to main content

Gene Essentiality

Overview of attention for book
Cover of 'Gene Essentiality'

Table of Contents

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

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
2 Wikipedia pages

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Identifying Essential Streptococcus sanguinis Genes Using Genome-Wide Deletion Mutation.
Chapter number 2
Book title
Gene Essentiality
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2398-4_2
Pubmed ID
Book ISBNs
978-1-4939-2397-7, 978-1-4939-2398-4
Authors

Chen L, Ge X, Xu P, Lei Chen, Xiuchun Ge, Ping Xu, Chen, Lei, Ge, Xiuchun, Xu, Ping

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Student > Ph. D. Student 2 20%
Student > Doctoral Student 1 10%
Unspecified 1 10%
Other 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 20%
Agricultural and Biological Sciences 2 20%
Unspecified 1 10%
Environmental Science 1 10%
Computer Science 1 10%
Other 2 20%
Unknown 1 10%
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 12 July 2017.
All research outputs
#7,461,241
of 22,813,792 outputs
Outputs from Methods in molecular biology
#2,319
of 13,118 outputs
Outputs of similar age
#105,712
of 353,098 outputs
Outputs of similar age from Methods in molecular biology
#168
of 996 outputs
Altmetric has tracked 22,813,792 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 13,118 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 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 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.