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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 19: The Nucleolus
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

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1 Dimensions

Readers on

mendeley
15 Mendeley
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1 CiteULike
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Chapter title
The Nucleolus
Chapter number 19
Book title
The Nucleolus
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3792-9_19
Pubmed ID
Book ISBNs
978-1-4939-3790-5, 978-1-4939-3792-9
Authors

Bai, Baoyan, Laiho, Marikki, Baoyan Bai, Marikki Laiho

Editors

Attila Németh

Abstract

Small RNAs (size 20-30 nt) of various types have been actively investigated in recent years, and their subcellular compartmentalization and relative concentrations are likely to be of importance to their cellular and physiological functions. Comprehensive data on this subset of the transcriptome can only be obtained by application of high-throughput sequencing, which yields data that are inherently complex and multidimensional, as sequence composition, length, and abundance will all inform to the small RNA function. Subsequent data analysis, hypothesis testing, and presentation/visualization of the results are correspondingly challenging. We have constructed small RNA libraries derived from different cellular compartments, including the nucleolus, and asked whether small RNAs exist in the nucleolus and whether they are distinct from cytoplasmic and nuclear small RNAs, the miRNAs. Here, we present a workflow for analysis of small RNA sequencing data generated by the Ion Torrent PGM sequencer from samples derived from different cellular compartments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 7%
United States 1 7%
Greece 1 7%
Germany 1 7%
Unknown 11 73%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 40%
Student > Master 2 13%
Librarian 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 20%
Biochemistry, Genetics and Molecular Biology 3 20%
Computer Science 3 20%
Medicine and Dentistry 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 0 0%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 September 2016.
All research outputs
#2,878,664
of 22,884,315 outputs
Outputs from Methods in molecular biology
#566
of 13,131 outputs
Outputs of similar age
#51,569
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#95
of 1,471 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 has done well, scoring higher than 86% of its contemporaries.
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 done particularly well, scoring higher than 93% of its contemporaries.