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Personalised Medicine

Overview of attention for book
Attention for Chapter 9: Personalised Medicine: Genome Maintenance Lessons Learned from Studies in Yeast as a Model Organism
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1 tweeter

Citations

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3 Dimensions

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31 Mendeley
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Chapter title
Personalised Medicine: Genome Maintenance Lessons Learned from Studies in Yeast as a Model Organism
Chapter number 9
Book title
Personalised Medicine
Published in
Advances in experimental medicine and biology, August 2017
DOI 10.1007/978-3-319-60733-7_9
Pubmed ID
Book ISBNs
978-3-31-960731-3, 978-3-31-960733-7
Authors

Abugable, Arwa A., Awwad, Dahlia A., Fleifel, Dalia, Ali, Mohamed M., El-Khamisy, Sherif, Elserafy, Menattallah, Arwa A. Abugable, Dahlia A. Awwad, Dalia Fleifel, Mohamed M. Ali, Sherif El-Khamisy, Menattallah Elserafy

Abstract

Yeast research has been tremendously contributing to the understanding of a variety of molecular pathways due to the ease of its genetic manipulation, fast doubling time as well as being cost-effective. The understanding of these pathways did not only help scientists learn more about the cellular functions but also assisted in deciphering the genetic and cellular defects behind multiple diseases. Hence, yeast research not only opened the doors for transforming basic research into applied research, but also paved the roads for improving diagnosis and innovating personalized therapy of different diseases. In this chapter, we discuss how yeast research has contributed to understanding major genome maintenance pathways such as the S-phase checkpoint activation pathways, repair via homologous recombination and non-homologous end joining as well as topoisomerases-induced protein linked DNA breaks repair. Defects in these pathways lead to neurodegenerative diseases and cancer. Thus, the understanding of the exact genetic defects underlying these diseases allowed the development of personalized medicine, improving the diagnosis and treatment and overcoming the detriments of current conventional therapies such as the side effects, toxicity as well as drug resistance.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 6 19%
Student > Bachelor 5 16%
Student > Master 5 16%
Other 3 10%
Other 2 6%
Unknown 3 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 52%
Economics, Econometrics and Finance 3 10%
Agricultural and Biological Sciences 2 6%
Arts and Humanities 1 3%
Social Sciences 1 3%
Other 3 10%
Unknown 5 16%

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 August 2017.
All research outputs
#10,338,380
of 11,657,610 outputs
Outputs from Advances in experimental medicine and biology
#2,243
of 3,095 outputs
Outputs of similar age
#222,115
of 263,030 outputs
Outputs of similar age from Advances in experimental medicine and biology
#2
of 3 outputs
Altmetric has tracked 11,657,610 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,095 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 263,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.