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Diagnostic Bacteriology

Overview of attention for book
Cover of 'Diagnostic Bacteriology'

Table of Contents

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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2 policy sources
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6 X users

Citations

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4 Dimensions

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27 Mendeley
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Chapter title
Mycobacterial Load Assay
Chapter number 5
Book title
Diagnostic Bacteriology
Published in
Methods in molecular biology, June 2017
DOI 10.1007/978-1-4939-7037-7_5
Pubmed ID
Book ISBNs
978-1-4939-7035-3, 978-1-4939-7037-7, 978-1-4939-7035-3, 978-1-4939-7037-7
Authors

Stephen H. Gillespie, Wilber Sabiiti, Katarina Oravcova, Gillespie, Stephen H., Sabiiti, Wilber, Oravcova, Katarina

Editors

Kimberly A. Bishop-Lilly

Abstract

Tuberculosis is a difficult disease to treat, a process made more harder as tools to monitor treatment response only provide a result long after the patient has provided a sample. The mycobacterial load assay (MBLA) provides a simple molecular test to quantify and determine the viability of M. tuberculosis in human or other samples.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 30%
Researcher 6 22%
Other 2 7%
Unspecified 2 7%
Student > Ph. D. Student 2 7%
Other 5 19%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Immunology and Microbiology 5 19%
Biochemistry, Genetics and Molecular Biology 5 19%
Unspecified 2 7%
Environmental Science 1 4%
Other 3 11%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 September 2018.
All research outputs
#3,089,580
of 25,306,238 outputs
Outputs from Methods in molecular biology
#578
of 14,173 outputs
Outputs of similar age
#53,832
of 323,433 outputs
Outputs of similar age from Methods in molecular biology
#10
of 297 outputs
Altmetric has tracked 25,306,238 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,173 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 323,433 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 297 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.