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Gapmers

Overview of attention for book
Cover of 'Gapmers'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Invention and Early History of Gapmers
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    Chapter 2 Development and Clinical Applications of Antisense Oligonucleotide Gapmers
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    Chapter 3 Knocking Down Long Noncoding RNAs Using Antisense Oligonucleotide Gapmers
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    Chapter 4 Development of Antisense Oligonucleotide Gapmers for the Treatment of Huntington’s Disease
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    Chapter 5 Development of Antisense Oligonucleotide Gapmers for the Treatment of Dyslipidemia and Lipodystrophy
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    Chapter 6 Inotersen for the Treatment of Hereditary Transthyretin Amyloidosis
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    Chapter 7 Degradation of Toxic RNA in Myotonic Dystrophy Using Gapmer Antisense Oligonucleotides
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    Chapter 8 DNA–RNA Heteroduplex Oligonucleotide for Highly Efficient Gene Silencing
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    Chapter 9 Tips for Successful lncRNA Knockdown Using Gapmers
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    Chapter 10 Calcium-Mediated In Vitro Transfection Technique of Oligonucleotides with Broad Chemical Modification Compatibility
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    Chapter 11 Evaluating the Knockdown Activity of MALAT1 ENA Gapmers In Vitro
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    Chapter 12 Albumin-Binding Fatty Acid–Modified Gapmer Antisense Oligonucleotides for Modulation of Pharmacokinetics
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    Chapter 13 The Use of Gapmers for In Vivo Suppression of Hepatic mRNA Targets
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    Chapter 14 Development of LNA Gapmer Oligonucleotide-Based Therapy for ALS/FTD Caused by the C9orf72 Repeat Expansion
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    Chapter 15 Targeted Gene Silencing in Malignant Hematolymphoid Cells Using GapmeR
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    Chapter 16 Gapmer Antisense Oligonucleotides to Selectively Suppress the Mutant Allele in COL6A Genes in Dominant Ullrich Congenital Muscular Dystrophy
  18. Altmetric Badge
    Chapter 17 Detection of Locked Nucleic Acid Gapmers from Mouse Muscle Samples Using ELISA
Attention for Chapter 3: Knocking Down Long Noncoding RNAs Using Antisense Oligonucleotide Gapmers
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Chapter title
Knocking Down Long Noncoding RNAs Using Antisense Oligonucleotide Gapmers
Chapter number 3
Book title
Gapmers
Published in
Methods in molecular biology, September 2020
DOI 10.1007/978-1-0716-0771-8_3
Pubmed ID
Book ISBNs
978-1-07-160770-1, 978-1-07-160771-8
Authors

Rika Maruyama, Toshifumi Yokota, Maruyama, Rika, Yokota, Toshifumi

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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Ph. D. Student 3 10%
Student > Bachelor 3 10%
Researcher 2 7%
Lecturer 1 3%
Other 1 3%
Unknown 15 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 37%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 15 50%
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 01 September 2020.
All research outputs
#18,743,179
of 23,234,261 outputs
Outputs from Methods in molecular biology
#8,063
of 13,317 outputs
Outputs of similar age
#300,806
of 399,418 outputs
Outputs of similar age from Methods in molecular biology
#144
of 213 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,317 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 399,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.