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Overview of attention for book
Cover of 'Antibiotics'

Table of Contents

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    Book Overview
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    Chapter 1 Antibiotics: Precious Goods in Changing Times
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    Chapter 2 Mining Bacterial Genomes for Secondary Metabolite Gene Clusters
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    Chapter 3 Production of Antimicrobial Compounds by Fermentation
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    Chapter 4 Structure Elucidation of Antibiotics by NMR Spectroscopy
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    Chapter 5 Computer-Aided Drug Design Methods
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    Chapter 6 Cytotoxicity Assays as Predictors of the Safety and Efficacy of Antimicrobial Agents
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    Chapter 7 Application of a Bacillus subtilis Whole-Cell Biosensor (PliaI-lux) for the Identification of Cell Wall Active Antibacterial Compounds
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    Chapter 8 Determination of Bacterial Membrane Impairment by Antimicrobial Agents
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    Chapter 9 Mass-Sensitive Biosensor Systems to Determine the Membrane Interaction of Analytes
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    Chapter 10 Measurement of Cell Membrane Fluidity by Laurdan GP: Fluorescence Spectroscopy and Microscopy
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    Chapter 11 In Vitro Assays to Identify Antibiotics Targeting DNA Metabolism
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    Chapter 12 Fluorescence-Based Real-Time Activity Assays to Identify RNase P Inhibitors
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    Chapter 13 Reporter Gene-Based Screening for TPP Riboswitch Activators
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    Chapter 14 Cell-Based Fluorescent Screen to Identify Inhibitors of Bacterial Translation Initiation
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    Chapter 15 Bacterial Histidine Kinases: Overexpression, Purification, and Inhibitor Screen
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    Chapter 16 Expression Profiling of Antibiotic-Resistant Bacteria Obtained by Laboratory Evolution
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    Chapter 17 Sample Preparation for Mass-Spectrometry Based Absolute Protein Quantification in Antibiotic Stress Research
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    Chapter 18 Label-Free Quantitation of Ribosomal Proteins from Bacillus subtilis for Antibiotic Research
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    Chapter 19 Functional Metagenomics to Study Antibiotic Resistance
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    Chapter 20 Epidemiological Surveillance and Typing Methods to Track Antibiotic Resistant Strains Using High Throughput Sequencing
  22. Altmetric Badge
    Chapter 21 Erratum
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

1 blog
27 tweeters
1 Facebook page
1 Google+ user


7 Dimensions

Readers on

64 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.
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6634-9
978-1-4939-6632-5, 978-1-4939-6634-9

Peter Sass

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 19%
Student > Master 10 16%
Researcher 7 11%
Student > Ph. D. Student 6 9%
Student > Postgraduate 4 6%
Other 8 13%
Unknown 17 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 30%
Chemistry 11 17%
Pharmacology, Toxicology and Pharmaceutical Science 7 11%
Agricultural and Biological Sciences 6 9%
Nursing and Health Professions 2 3%
Other 3 5%
Unknown 16 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 24 February 2020.
All research outputs
of 16,146,654 outputs
Outputs from Methods in molecular biology
of 9,347 outputs
Outputs of similar age
of 391,894 outputs
Outputs of similar age from Methods in molecular biology
of 1,564 outputs
Altmetric has tracked 16,146,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,347 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 99% 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 391,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1,564 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 99% of its contemporaries.