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Photodynamic Therapy

Overview of attention for book
Cover of 'Photodynamic Therapy'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Death and Survival Signals in Photodynamic Therapy
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    Chapter 3 Photodynamic therapy and cell death pathways.
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    Chapter 4 Identification of MAP kinase pathways involved in COX-2 expression following photofrin photodynamic therapy.
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    Chapter 5 Metronomic PDT and Cell Death Pathways
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    Chapter 6 How to Monitor NF-κB Activation After Photodynamic Therapy
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    Chapter 7 Application of 5-Aminolevulinic Acid and Its Derivatives for Photodynamic Therapy In Vitro and In Vivo
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    Chapter 8 Hypoxia and perfusion labeling during photodynamic therapy.
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    Chapter 9 Targeting the tumor microenvironment using photodynamic therapy combined with inhibitors of cyclooxygenase-2 or vascular endothelial growth factor.
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    Chapter 10 Photochemical Internalization (PCI): A Technology for Drug Delivery
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    Chapter 11 Photodynamic Therapy-Generated Cancer Vaccines
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    Chapter 12 Antimicrobial photodynamic inactivation and photodynamic therapy for infections.
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    Chapter 13 Photodynamic Therapy of Bacterial and Fungal Biofilm Infections
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    Chapter 14 Calculation of Cellular Oxygen Concentration for Photodynamic Therapy In Vitro
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    Chapter 15 Fluorescent molecular imaging and dosimetry tools in photodynamic therapy.
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    Chapter 16 Bifunctional agents for imaging and therapy.
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    Chapter 17 Photodynamic Diagnosis and Therapy and the Brain
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    Chapter 18 Photodynamic therapy of head and neck cancers.
Attention for Chapter 12: Antimicrobial photodynamic inactivation and photodynamic therapy for infections.
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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 (79th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
126 Mendeley
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Chapter title
Antimicrobial photodynamic inactivation and photodynamic therapy for infections.
Chapter number 12
Book title
Photodynamic Therapy
Published in
Methods in molecular biology, February 2015
DOI 10.1007/978-1-60761-697-9_12
Pubmed ID
Book ISBNs
978-1-60761-696-2, 978-1-60761-697-9
Authors

Liyi Huang, Tianhong Dai, Michael R. Hamblin, Huang L, Dai T, Hamblin MR, Huang, Liyi, Dai, Tianhong, Hamblin, Michael R.

Abstract

Photodynamic therapy (PDT) was initially discovered over 100 years ago by its ability to kill microorganisms, but its use to treat infections clinically has not been much developed. However, the present relentless increase in antibiotic resistance worldwide and the emergence of strains that are resistant to all known antibiotics has stimulated research into novel antimicrobial strategies such as PDT that are thought to be unlikely to lead to the development of resistance. In this chapter we will cover the use of PDT to kill pathogenic microbial cells in vitro and describe a mouse model of localized infection and its treatment by PDT without causing excessive damage to the host tissue.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 2 2%
Portugal 1 <1%
Unknown 123 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 19%
Researcher 17 13%
Student > Ph. D. Student 17 13%
Student > Bachelor 15 12%
Student > Doctoral Student 8 6%
Other 19 15%
Unknown 26 21%
Readers by discipline Count As %
Chemistry 18 14%
Agricultural and Biological Sciences 18 14%
Medicine and Dentistry 17 13%
Biochemistry, Genetics and Molecular Biology 13 10%
Immunology and Microbiology 7 6%
Other 21 17%
Unknown 32 25%
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 17 August 2019.
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
#106,712
of 352,350 outputs
Outputs of similar age from Methods in molecular biology
#151
of 977 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 352,350 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 977 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.