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The Nucleolus

Overview of attention for book
Cover of 'The Nucleolus'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 The Nucleolus
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    Chapter 2 The Nucleolus
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    Chapter 3 Correlative Light and Electron Microscopy of Nucleolar Transcription in Saccharomyces cerevisiae
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    Chapter 4 High-Throughput Live-Cell Microscopy Analysis of Association Between Chromosome Domains and the Nucleolus in S. cerevisiae
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    Chapter 5 Quantitative Immunofluorescence Analysis of Nucleolus-Associated Chromatin
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    Chapter 6 The Nucleolus
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    Chapter 7 Purification of Crystallization-Grade RNA Polymerase I from S. cerevisiae
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    Chapter 8 The Nucleolus
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    Chapter 9 The Nucleolus
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    Chapter 10 The Nucleolus
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    Chapter 11 Metabolic Labeling in the Study of Mammalian Ribosomal RNA Synthesis
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    Chapter 12 The Nucleolus
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    Chapter 13 The Nucleolus
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    Chapter 14 Analysis of rRNA Gene Methylation in Arabidopsis thaliana by CHEF-Conventional 2D Gel Electrophoresis
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    Chapter 15 Fluorescence-Activated Nucleolus Sorting in Arabidopsis
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    Chapter 16 Purification of RNA Polymerase I-Associated Chromatin from Yeast Cells
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    Chapter 17 The Nucleolus
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    Chapter 18 The Nucleolus
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    Chapter 19 The Nucleolus
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    Chapter 20 Quantitative Proteomic Analysis of the Human Nucleolus
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    Chapter 21 Analysis of Mass Spectrometry Data for Nucleolar Proteomics Experiments
Attention for Chapter 17: The Nucleolus
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  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Chapter title
The Nucleolus
Chapter number 17
Book title
The Nucleolus
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3792-9_17
Pubmed ID
Book ISBNs
978-1-4939-3790-5, 978-1-4939-3792-9
Authors

Schwartz, Uwe, Längst, Gernot, Uwe Schwartz, Gernot Längst

Editors

Attila Németh

Abstract

Ribosomal RNA genes are highly repetitive and therefore not annotated in genome assemblies. We did recently analyze the epigenetic and architectural regulation of murine ribosomal genes by the Transcription Termination Factor I and made use of genome-wide histone modification ChIP-seq data. This method paper describes how repetitive genomic regions can be integrated into custom genomic assemblies and be used with genome-wide profiling data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Lecturer 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2016.
All research outputs
#14,270,031
of 22,884,315 outputs
Outputs from Methods in molecular biology
#4,196
of 13,131 outputs
Outputs of similar age
#206,108
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#417
of 1,471 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 393,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.