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Cancer and Zebrafish

Overview of attention for book
Cover of 'Cancer and Zebrafish'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Uncharted Waters: Zebrafish Cancer Models Navigate a Course for Oncogene Discovery
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    Chapter 2 The Toolbox for Conditional Zebrafish Cancer Models
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    Chapter 3 Cancer and Zebrafish
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    Chapter 4 Tumor Suppressors in Zebrafish: From TP53 to PTEN and Beyond
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    Chapter 5 Identifying Novel Cancer Therapies Using Chemical Genetics and Zebrafish
  7. Altmetric Badge
    Chapter 6 Cancer and Zebrafish
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    Chapter 7 Cancer and Zebrafish
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    Chapter 8 Cancer and Zebrafish
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    Chapter 9 Lymphatics, Cancer and Zebrafish
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    Chapter 10 In Vivo Imaging of Cancer in Zebrafish
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    Chapter 11 Imaging Cancer Angiogenesis and Metastasis in a Zebrafish Embryo Model
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    Chapter 12 Allograft Cancer Cell Transplantation in Zebrafish
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    Chapter 13 The Zebrafish Xenograft Platform: Evolution of a Novel Cancer Model and Preclinical Screening Tool
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    Chapter 14 Automation of Technology for Cancer Research
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    Chapter 15 Cancer and Zebrafish
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    Chapter 16 Zebrafish Rhabdomyosarcoma
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    Chapter 17 Baiting for Cancer: Using the Zebrafish as a Model in Liver and Pancreatic Cancer
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    Chapter 18 Focusing the Spotlight on the Zebrafish Intestine to Illuminate Mechanisms of Colorectal Cancer
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    Chapter 19 Zebrafish Melanoma
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    Chapter 20 Cancer and Zebrafish
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    Chapter 21 Zebrafish Germ Cell Tumors
  23. Altmetric Badge
    Chapter 22 Malignant Peripheral Nerve Sheath Tumors
  24. Altmetric Badge
    Chapter 23 Xiphophorus and Medaka Cancer Models
Attention for Chapter 7: Cancer and Zebrafish
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Chapter title
Cancer and Zebrafish
Chapter number 7
Book title
Cancer and Zebrafish
Published in
Advances in experimental medicine and biology, May 2016
DOI 10.1007/978-3-319-30654-4_7
Pubmed ID
Book ISBNs
978-3-31-930652-0, 978-3-31-930654-4
Authors

Huang, Xiaoqian, Agrawal, Ira, Li, Zhen, Zheng, Weiling, Lin, Qingsong, Gong, Zhiyuan, Xiaoqian Huang, Ira Agrawal, Zhen Li, Weiling Zheng, Qingsong Lin, Zhiyuan Gong

Editors

David M. Langenau

Abstract

The past decade has witnessed a remarkable advancement of the zebrafish model in cancer research. With the rapid development of genomic tools, it is increasingly feasible to perform genome-wide analyses to identify changes associated with cancer in a wide array of model organisms. These genomic tools, particularly transcriptomic analyses using DNA microarray and RNA sequencing platforms, have now become widely used in zebrafish cancer models to uncover novel biology and common molecular pathways underlying hepatocellular carcinoma, intrahepatic cholangiocarcinoma, melanoma, embryonal rhabdomyosarcoma (ERMS), T cell acute lymphoblastic leukemia (T-ALL), Ewing's sarcoma and glioma. An important finding from these studies is the high similarity and conservation of molecular pathways that underlie cancer in complementary zebrafish models and their human counterparts. Finally, these transcriptomic tools have also proven effective in the development and the validation of specific assays for chemical compound screening. In the future, other genomic tools, such as epigenetic, proteomic and metabolomic tools will likely be incorporated into zebrafish cancer studies, further refining our understanding of cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 21%
Student > Bachelor 3 13%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Professor > Associate Professor 2 8%
Other 3 13%
Unknown 5 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 38%
Medicine and Dentistry 5 21%
Agricultural and Biological Sciences 3 13%
Veterinary Science and Veterinary Medicine 1 4%
Unknown 6 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 26 May 2016.
All research outputs
#15,372,369
of 22,869,263 outputs
Outputs from Advances in experimental medicine and biology
#2,506
of 4,951 outputs
Outputs of similar age
#187,838
of 309,572 outputs
Outputs of similar age from Advances in experimental medicine and biology
#57
of 131 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,951 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 37th percentile – i.e., 37% 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 309,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.