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Bacterial Artificial Chromosomes

Overview of attention for book
Cover of 'Bacterial Artificial Chromosomes'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 From Selective Full-Length Genes Isolation by TAR Cloning in Yeast to Their Expression from HAC Vectors in Human Cells.
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    Chapter 2 Recombineering Linear BACs.
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    Chapter 3 BAC Sequencing Using Pooled Methods.
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    Chapter 4 Making BAC Transgene Constructs with Lambda-Red Recombineering System for Transgenic Animals or Cell Lines.
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    Chapter 5 Directing Enhancer-Traps and iTol2 End-Sequences to Deleted BAC Ends with loxP- and lox511-Tn10 Transposons.
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    Chapter 6 Recombining Overlapping BACs into Single Large BACs
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    Chapter 7 Generation of Knockout Alleles by RFLP Based BAC Targeting of Polymorphic Embryonic Stem Cells
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    Chapter 8 Herpesvirus Mutagenesis Facilitated by Infectious Bacterial Artificial Chromosomes (iBACs)
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    Chapter 9 Conversion of BAC Clones into Binary BAC (BIBAC) Vectors and Their Delivery into Basidiomycete Fungal Cells Using Agrobacterium tumefaciens
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    Chapter 10 Infectious Delivery of Alphaherpesvirus Bacterial Artificial Chromosomes
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    Chapter 11 A recombineering-based gene tagging system for Arabidopsis.
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    Chapter 12 BAC Transgenic Zebrafish for Transcriptional Promoter and Enhancer Studies
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    Chapter 13 BACs-on-Beads™ (BoBs™) Assay for the Genetic Evaluation of Prenatal Samples and Products of Conception.
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    Chapter 14 New BAC Probe Set to Narrow Down Chromosomal Breakpoints in Small and Large Derivative Chromosomes, Especially Suited for Mosaic Conditions
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    Chapter 15 BAC-Probes Applied for Characterization of Fragile Sites (FS)
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    Chapter 16 Application of BAC-Probes to Visualize Copy Number Variants (CNVs)
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    Chapter 17 Site-specific Integration of Bacterial Artificial Chromosomes into Human Cells
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    Chapter 18 Generation of BAC Reporter Cell Lines for Drug Discovery
Attention for Chapter 2: Recombineering Linear BACs.
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Chapter title
Recombineering Linear BACs.
Chapter number 2
Book title
Bacterial Artificial Chromosomes
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1652-8_2
Pubmed ID
Book ISBNs
978-1-4939-1651-1, 978-1-4939-1652-8
Authors

Chen Q, Narayanan K, Qingwen Chen, Kumaran Narayanan, Chen, Qingwen, Narayanan, Kumaran

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 > Ph. D. Student 4 50%
Professor > Associate Professor 1 13%
Student > Bachelor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Biochemistry, Genetics and Molecular Biology 1 13%
Chemistry 1 13%
Unknown 2 25%
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 23 May 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Methods in molecular biology
#9,905
of 13,118 outputs
Outputs of similar age
#295,818
of 353,087 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
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So far Altmetric has tracked 13,118 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.