Report for: Cancer and Zebrafish

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Chapter title	Cancer and Zebrafish
Chapter number	3
Book title	Cancer and Zebrafish
Published in	Advances in experimental medicine and biology, May 2016
DOI	10.1007/978-3-319-30654-4_3
Pubmed ID	27165349
Book ISBNs	978-3-31-930652-0, 978-3-31-930654-4
Authors	Parant, John M, Yeh, Jing-Ruey Joanna, John M. Parant, Jing-Ruey Joanna Yeh, Parant, John M.
Editors	David M. Langenau
Abstract	Animal models of tumor initiation and tumor progression are essential components toward understanding cancer and designing/validating future therapies. Zebrafish is a powerful model for studying tumorigenesis and has been successfully exploited in drug discovery. According to the zebrafish reference genome, 82 % of disease-associated genes in the Online Mendelian Inheritance in Man (OMIM) database have clear zebrafish orthologues. Using a variety of large-scale random mutagenesis methods developed to date, zebrafish can provide a unique opportunity to identify gene mutations that may be associated with cancer predisposition. On the other hand, newer technologies enabling targeted mutagenesis can facilitate reverse cancer genetic studies and open the door for complex genetic analysis of tumorigenesis. In this chapter, we will describe the various technologies for conducting genome editing in zebrafish with special emphasis on the approaches to inactivate genes.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
Unknown	2	100%

Demographic breakdown

Type	Count	As %
Members of the public	2	100%

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	22	100%

Demographic breakdown

Readers by professional status	Count	As %
Researcher	4	18%
Student > Master	3	14%
Other	2	9%
Professor	2	9%
Student > Ph. D. Student	2	9%
Other	3	14%
Unknown	6	27%

Readers by discipline	Count	As %
Biochemistry, Genetics and Molecular Biology	5	23%
Agricultural and Biological Sciences	4	18%
Social Sciences	2	9%
Medicine and Dentistry	2	9%
Business, Management and Accounting	1	5%
Other	2	9%
Unknown	6	27%

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 10 September 2016.

All research outputs

#13,749,545

of 23,310,485 outputs

Outputs from Advances in experimental medicine and biology

#1,935

of 4,989 outputs

Outputs of similar age

#156,104

of 310,806 outputs

Outputs of similar age from Advances in experimental medicine and biology

#33

of 131 outputs

Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.

So far Altmetric has tracked 4,989 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 59% 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 310,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% 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 has gotten more attention than average, scoring higher than 71% of its contemporaries.

Cancer and Zebrafish

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X Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context