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Ovarian Cancer

Overview of attention for book
Cover of 'Ovarian Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Ovarian Cancer Genome
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    Chapter 2 Identifying Associations Between Genomic Alterations in Tumors
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    Chapter 3 Analysis of Genome-Wide DNA Methylation Profiles by BeadChip Technology
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    Chapter 4 Integrative Prediction of Gene Function and Platinum-Free Survival from Genomic and Epigenetic Features in Ovarian Cancer
  6. Altmetric Badge
    Chapter 5 Survival prediction based on inherited gene variation analysis.
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    Chapter 6 Main principles and outcomes of DNA methylation analysis.
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    Chapter 7 Methylation-specific PCR.
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    Chapter 8 Bisulfite sequencing of cloned alleles.
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    Chapter 9 Bisulfite pyrosequencing.
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    Chapter 10 RNA Networks in Ovarian Cancer
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    Chapter 11 Microarray-Based Transcriptome Profiling of Ovarian Cancer Cells
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    Chapter 12 Deep transcriptome profiling of ovarian cancer cells using next-generation sequencing approach.
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    Chapter 13 Assessment of mRNA Splice Variants by qRT-PCR.
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    Chapter 14 MicroRNA Profiling in Ovarian Cancer
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    Chapter 15 Detailed Analysis of Promoter-Associated RNA
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    Chapter 16 Integrating Multiple Types of Data to Identify MicroRNA–Gene Co-modules
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    Chapter 17 Energy Metabolism and Changes in Cellular Composition in Ovarian Cancer
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    Chapter 18 Metabolomic Profiling of Ovarian Carcinomas Using Mass Spectrometry
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    Chapter 19 Choline Metabolic Profiling by Magnetic Resonance Spectroscopy
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    Chapter 20 Proteomic Profiling of Ovarian Cancer Models Using TMT-LC-MS/MS
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    Chapter 21 Characterization of Signalling Pathways by Reverse Phase Protein Arrays
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    Chapter 22 N-Glycosylation Analysis by HPAEC-PAD and Mass Spectrometry
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    Chapter 23 In Vivo and In Vitro Properties of Ovarian Cancer Cells
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    Chapter 24 Establishment of Primary Cultures from Ovarian Tumor Tissue and Ascites Fluid
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    Chapter 25 Ovarian Cancer Stem Cells Enrichment
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    Chapter 26 Assessment of resistance to anoikis in ovarian cancer.
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    Chapter 27 Analysis of EMT by Flow Cytometry and Immunohistochemistry.
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    Chapter 28 Challenges in Experimental Modeling of Ovarian Cancerogenesis
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    Chapter 29 Transformation of the human ovarian surface epithelium with genetically defined elements.
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    Chapter 30 In Vitro Model of Spontaneous Mouse OSE Transformation.
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    Chapter 31 Orthotopic, Syngeneic Mouse Model to Study the Effects of Epithelial–Stromal Interaction
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    Chapter 32 Immunocompetent Mouse Model of Ovarian Cancer for In Vivo Imaging
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    Chapter 33 Drug Delivery Approaches for Ovarian Cancer Therapy
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    Chapter 34 Polymer-Based Delivery of RNA-Based Therapeutics in Ovarian Cancer
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    Chapter 35 Ligand-coupled lipoprotein for ovarian cancer-specific drug delivery.
  37. Altmetric Badge
    Chapter 36 Ovarian Cancer
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    Chapter 37 Exosomes as a potential tool for a specific delivery of functional molecules.
Attention for Chapter 8: Bisulfite sequencing of cloned alleles.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog

Citations

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11 Dimensions

Readers on

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16 Mendeley
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Chapter title
Bisulfite sequencing of cloned alleles.
Chapter number 8
Book title
Ovarian Cancer
Published in
Methods in molecular biology, June 2013
DOI 10.1007/978-1-62703-547-7_8
Pubmed ID
Book ISBNs
978-1-62703-546-0, 978-1-62703-547-7
Authors

Huang Z, Bassil CF, Murphy SK, Huang, Zhiqing, Bassil, Christopher F., Murphy, Susan K., Zhiqing Huang, Christopher F. Bassil, Susan K. Murphy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Bachelor 4 25%
Professor > Associate Professor 2 13%
Unspecified 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 50%
Agricultural and Biological Sciences 3 19%
Unspecified 1 6%
Nursing and Health Professions 1 6%
Economics, Econometrics and Finance 1 6%
Other 0 0%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 July 2021.
All research outputs
#5,753,963
of 22,851,489 outputs
Outputs from Methods in molecular biology
#1,623
of 13,127 outputs
Outputs of similar age
#48,357
of 196,860 outputs
Outputs of similar age from Methods in molecular biology
#10
of 37 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 196,860 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 75% of its contemporaries.
We're also able to compare this research output to 37 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 72% of its contemporaries.