↓ Skip to main content

Diagnostic Bacteriology

Overview of attention for book
Cover of 'Diagnostic Bacteriology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Whole-Genome Enrichment Using RNA Probes and Sequencing of Chlamydia trachomatis Directly from Clinical Samples
  3. Altmetric Badge
    Chapter 2 Characterization of Sinus Microbiota by 16S Sequencing from Swabs
  4. Altmetric Badge
    Chapter 3 Molecular Subtyping of Salmonella Typhimurium with Multiplex Oligonucleotide Ligation-PCR (MOL-PCR)
  5. Altmetric Badge
    Chapter 4 Detection of Helicobacter pylori DNA in Formalin-Fixed Paraffin-Embedded Gastric Biopsies Using Laser Microdissection and qPCR
  6. Altmetric Badge
    Chapter 5 Mycobacterial Load Assay
  7. Altmetric Badge
    Chapter 6 Defining Diagnostic Biomarkers Using Shotgun Proteomics and MALDI-TOF Mass Spectrometry
  8. Altmetric Badge
    Chapter 7 Detection and Typing of “Candidatus Phytoplasma ” spp. in Host DNA Extracts Using Oligonucleotide-Coupled Fluorescent Microspheres
  9. Altmetric Badge
    Chapter 8 Detection of Helicobacter pylori in the Gastric Mucosa by Fluorescence In Vivo Hybridization
  10. Altmetric Badge
    Chapter 9 Rapid Antibiotic Susceptibility Testing for Urinary Tract Infections
  11. Altmetric Badge
    Chapter 10 Detection and Differentiation of Lyme Spirochetes and Other Tick-Borne Pathogens from Blood Using Real-Time PCR with Molecular Beacons
  12. Altmetric Badge
    Chapter 11 Methods for Real-Time PCR-Based Diagnosis of Chlamydia pneumoniae, Chlamydia psittaci, and Chlamydia abortus Infections in an Opened Molecular Diagnostic Platform
  13. Altmetric Badge
    Chapter 12 Real-Time PCR to Identify Staphylococci and Assay for Virulence from Blood
  14. Altmetric Badge
    Chapter 13 Multiplex Peptide Nucleic Acid Fluorescence In Situ Hybridization (PNA-FISH) for Diagnosis of Bacterial Vaginosis
  15. Altmetric Badge
    Chapter 14 A Closed-tube Loop-Mediated Isothermal Amplification Assay for the Visual Endpoint Detection of Brucella spp. and Mycobacterium avium subsp. paratuberculosis
  16. Altmetric Badge
    Chapter 15 Highly Specific Ligation-dependent Microarray Detection of Single Nucleotide Polymorphisms
  17. Altmetric Badge
    Chapter 16 Multilocus Sequence Typing (MLST) for Cronobacter spp.
  18. Altmetric Badge
    Chapter 17 Diagnostic Bacteriology: Raman Spectroscopy
Attention for Chapter 15: Highly Specific Ligation-dependent Microarray Detection of Single Nucleotide Polymorphisms
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 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
Highly Specific Ligation-dependent Microarray Detection of Single Nucleotide Polymorphisms
Chapter number 15
Book title
Diagnostic Bacteriology
Published in
Methods in molecular biology, June 2017
DOI 10.1007/978-1-4939-7037-7_15
Pubmed ID
Book ISBNs
978-1-4939-7035-3, 978-1-4939-7037-7
Authors

Noa Wolff, Ivan Barišicʹ, Wolff, Noa, Barišicʹ, Ivan

Editors

Kimberly A. Bishop-Lilly

Abstract

The fast detection and characterization of pathogens are essential for an efficient treatment of infectious diseases. However, the development of improved and reliable diagnostic methods is still an ongoing process because not only pathogens but also their antibiotic resistances have to be identified. The gold standard today is, however, a cultivation-based characterization approach, which takes days until results can be evaluated. In patients with, for example, severe sepsis, the diagnostic test duration is a very critical parameter because a delay of treatment optimization increases the mortality rate significantly. In contrast, DNA-based molecular techniques can obtain results within a few hours. A further challenge in diagnostic laboratories is that patient samples have to be screened for hundreds of potential pathogens, antibiotic resistance genes, and virulence factors, which is achieved by using a number of specialized tests at the moment. Microarrays are outstandingly good for the simultaneous analysis of thousands of different genes and have become a popular tool in biological studies. Nevertheless, further optimizations of the microarray technology are required due to the obligatory DNA labeling and/or amplification steps and the effects of nonspecific DNA hybridization. Here, we describe a fast and highly specific solid-support-based DNA characterization method for pathogens and antibiotic resistance genes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 50%
Professor > Associate Professor 1 13%
Unknown 3 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Medicine and Dentistry 2 25%
Agricultural and Biological Sciences 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 March 2018.
All research outputs
#15,464,404
of 22,979,862 outputs
Outputs from Methods in molecular biology
#5,379
of 13,148 outputs
Outputs of similar age
#199,040
of 317,056 outputs
Outputs of similar age from Methods in molecular biology
#110
of 303 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,148 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 317,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.