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Engineering and Analyzing Multicellular Systems

Overview of attention for book
Cover of 'Engineering and Analyzing Multicellular Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Recent progress in engineering human-associated microbiomes.
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    Chapter 2 Constructing synthetic microbial communities to explore the ecology and evolution of symbiosis.
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    Chapter 3 Combining engineering and evolution to create novel metabolic mutualisms between species.
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    Chapter 4 Design, construction, and characterization methodologies for synthetic microbial consortia.
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    Chapter 5 An Observation Method for Autonomous Signaling-Mediated Synthetic Diversification in Escherichia coli.
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    Chapter 6 Integration-Free Reprogramming of Human Somatic Cells to Induced Pluripotent Stem Cells (iPSCs) Without Viral Vectors, Recombinant DNA, and Genetic Modification.
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    Chapter 7 Transformation of Bacillus subtilis.
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    Chapter 8 Culturing anaerobes to use as a model system for studying the evolution of syntrophic mutualism.
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    Chapter 9 Therapeutic microbes for infectious disease.
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    Chapter 10 Quantitative measurement and analysis in a synthetic pattern formation multicellular system.
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    Chapter 11 Transcriptome Analysis of a Microbial Coculture in which the Cell Populations Are Separated by a Membrane.
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    Chapter 12 Identification of Mutations in Laboratory-Evolved Microbes from Next-Generation Sequencing Data Using breseq.
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    Chapter 13 3D-Fluorescence In Situ Hybridization of Intact, Anaerobic Biofilm.
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    Chapter 14 The characterization of living bacterial colonies using nanospray desorption electrospray ionization mass spectrometry.
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    Chapter 15 Modeling community population dynamics with the open-source language R.
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    Chapter 16 Simulating microbial community patterning using biocellion.
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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
14 X users
video
1 YouTube creator

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
175 Mendeley
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Title
Engineering and Analyzing Multicellular Systems
Published by
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0554-6
ISBNs
978-1-4939-0553-9, 978-1-4939-0554-6
Authors

Sun, Lianhong, Shou, Wenying

Editors

Lianhong Sun, Wenying Shou

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 175 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 10%
Student > Master 14 8%
Student > Bachelor 11 6%
Researcher 10 6%
Student > Doctoral Student 5 3%
Other 11 6%
Unknown 107 61%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 14%
Agricultural and Biological Sciences 16 9%
Immunology and Microbiology 6 3%
Medicine and Dentistry 4 2%
Chemistry 3 2%
Other 12 7%
Unknown 109 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 01 December 2023.
All research outputs
#993,520
of 24,907,378 outputs
Outputs from Methods in molecular biology
#82
of 13,987 outputs
Outputs of similar age
#10,885
of 317,962 outputs
Outputs of similar age from Methods in molecular biology
#5
of 565 outputs
Altmetric has tracked 24,907,378 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,987 research outputs from this source. They receive a mean Attention Score of 3.5. 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 317,962 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 96% of its contemporaries.
We're also able to compare this research output to 565 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.