↓ Skip to main content

Genome Stability and Human Diseases

Overview of attention for book
Cover of 'Genome Stability and Human Diseases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Coming Full Circle: Cyclin-Dependent Kinases as Anti-cancer Drug Targets
  3. Altmetric Badge
    Chapter 2 Core and Linker Histone Modifications Involved in the DNA Damage Response
  4. Altmetric Badge
    Chapter 3 Chromatin Assembly and Signalling the End of DNA Repair Requires Acetylation of Histone H3 on Lysine 56
  5. Altmetric Badge
    Chapter 4 Structure and Function of Histone H2AX
  6. Altmetric Badge
    Chapter 5 The Initiation Step of Eukaryotic DNA Replication
  7. Altmetric Badge
    Chapter 6 Non-coding RNAs: new players in the field of eukaryotic DNA replication.
  8. Altmetric Badge
    Chapter 7 Function of TopBP1 in Genome Stability
  9. Altmetric Badge
    Chapter 8 Eukaryotic Single-Stranded DNA Binding Proteins: Central Factors in Genome Stability
  10. Altmetric Badge
    Chapter 9 DNA polymerases and mutagenesis in human cancers.
  11. Altmetric Badge
    Chapter 10 DNA Polymerase η, a Key Protein in Translesion Synthesis in Human Cells
  12. Altmetric Badge
    Chapter 11 The Mitochondrial DNA Polymerase in Health and Disease
  13. Altmetric Badge
    Chapter 12 Centromeres: Assembling and Propagating Epigenetic Function
  14. Altmetric Badge
    Chapter 13 Nucleotide Excision Repair in Higher Eukaryotes: Mechanism of Primary Damage Recognition in Global Genome Repair
  15. Altmetric Badge
    Chapter 14 Nonhomologous DNA end joining (NHEJ) and chromosomal translocations in humans.
  16. Altmetric Badge
    Chapter 15 Fluorescence-Based Quantification of Pathway-Specific DNA Double-Strand Break Repair Activities: A Powerful Method for the Analysis of Genome Destabilizing Mechanisms
  17. Altmetric Badge
    Chapter 16 Apoptosis: A Way to Maintain Healthy Individuals
  18. Altmetric Badge
    Chapter 17 The use of transgenic mice in cancer and genome stability research.
Attention for Chapter 17: The use of transgenic mice in cancer and genome stability research.
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 144)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

1 tweeter


4 Dimensions

Readers on

12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
The use of transgenic mice in cancer and genome stability research.
Chapter number 17
Book title
Genome Stability and Human Diseases
Published in
Sub cellular biochemistry, December 2009
DOI 10.1007/978-90-481-3471-7_17
Pubmed ID
Book ISBNs
978-9-04-813470-0, 978-9-04-813471-7

Conmy S, Nasheuer HP, Sarah Conmy, Heinz-Peter Nasheuer


The development of effective cancer therapeutics is an important goal of modern biomedical sciences. To identify potential cancer therapeutic targets, the processes involved in tumorigenesis must be understood at all levels, which requires the development of model systems accurately mimicing tumor development. Cancer is the general name given to a variety of complex diseases characterised by uncontrolled cell proliferation. Cancer development is dependent not only on the changes occurring within the transformed cells, but also on the interactions of the cells with their microenvironment. The majority of our current understanding of carcinogenesis comes from the in vitro analysis of late-stage tumor tissue removed from cancer patients. While this has elucidated many genomic changes experienced by cancer cells, it provides little information about the factors influencing early-stage cancer development in vivo. Also certain hallmarks of cancer, such as metastasis and angiogenesis, are impossible to study in vitro. The mouse has become an important model for studying the in vivo aspects of human cancer development. Transgenic mouse models have been engineered to develop cancers, which accurately mimic their human counterparts, and have potential applications to test the effectiveness of novel cancer therapeutics. One of the most promising transgenic mouse models of human cancer arises from mice engineered with genomic instability. These transgenic models have been shown to develop human-like cancers and have the potential to provide insights into the molecular events occurring in earliest stages of tumorigenesis in vivo.

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

Geographical breakdown

Country Count As %
United States 1 8%
Germany 1 8%
Ireland 1 8%
Unknown 9 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 42%
Student > Ph. D. Student 2 17%
Professor 1 8%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 25%
Chemistry 2 17%
Biochemistry, Genetics and Molecular Biology 2 17%
Medicine and Dentistry 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Other 0 0%
Unknown 3 25%

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 September 2014.
All research outputs
of 4,299,369 outputs
Outputs from Sub cellular biochemistry
of 144 outputs
Outputs of similar age
of 115,394 outputs
Outputs of similar age from Sub cellular biochemistry
of 9 outputs
Altmetric has tracked 4,299,369 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 144 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 47th percentile – i.e., 47% 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 115,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.