↓ Skip to main content

Mouse Models for Drug Discovery

Overview of attention for book
Cover of 'Mouse Models for Drug Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Genetically Defined Strains in Drug Development and Toxicity Testing.
  3. Altmetric Badge
    Chapter 2 Mouse Models for Drug Discovery
  4. Altmetric Badge
    Chapter 3 Mouse Models for Drug Discovery
  5. Altmetric Badge
    Chapter 4 Mouse Models for Drug Discovery
  6. Altmetric Badge
    Chapter 5 Mouse Models for Drug Discovery
  7. Altmetric Badge
    Chapter 6 Human FcRn Transgenic Mice for Pharmacokinetic Evaluation of Therapeutic Antibodies.
  8. Altmetric Badge
    Chapter 7 A Humanized Mouse Model to Study Human Albumin and Albumin Conjugates Pharmacokinetics.
  9. Altmetric Badge
    Chapter 8 Mouse Models for Drug Discovery
  10. Altmetric Badge
    Chapter 9 Bridging Mice to Men: Using HLA Transgenic Mice to Enhance the Future Prediction and Prevention of Autoimmune Type 1 Diabetes in Humans.
  11. Altmetric Badge
    Chapter 10 Mouse Models of Type 2 Diabetes Mellitus in Drug Discovery.
  12. Altmetric Badge
    Chapter 11 Cholesterol Absorption and Metabolism.
  13. Altmetric Badge
    Chapter 12 Skin Diseases in Laboratory Mice: Approaches to Drug Target Identification and Efficacy Screening.
  14. Altmetric Badge
    Chapter 13 Chronic Myeloid Leukemia (CML) Mouse Model in Translational Research.
  15. Altmetric Badge
    Chapter 14 Murine Model for Colitis-Associated Cancer of the Colon.
  16. Altmetric Badge
    Chapter 15 Mouse Models for Drug Discovery
  17. Altmetric Badge
    Chapter 16 Mouse Models for Drug Discovery
  18. Altmetric Badge
    Chapter 17 Repetitive Behavioral Assessments for Compound Screening in Mouse Models of Autism Spectrum Disorders.
  19. Altmetric Badge
    Chapter 18 Mouse Models for Drug Discovery
  20. Altmetric Badge
    Chapter 19 Mouse Models for Drug Discovery
  21. Altmetric Badge
    Chapter 20 Mouse Models for Drug Discovery
  22. Altmetric Badge
    Chapter 21 Mouse Models for Drug Discovery
Attention for Chapter 2: Mouse Models for Drug Discovery
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
60 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
Mouse Models for Drug Discovery
Chapter number 2
Book title
Mouse Models for Drug Discovery
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3661-8_2
Pubmed ID
Book ISBNs
978-1-4939-3659-5, 978-1-4939-3661-8
Authors

Low, Benjamin E, Kutny, Peter M, Wiles, Michael V, Benjamin E. Low, Peter M. Kutny, Michael V. Wiles

Editors

Gabriele Proetzel, Michael V. Wiles

Abstract

Genetic modification of almost any species is now possible using approaches based on targeted nucleases. These novel tools now bypass previous limited species windows, allowing precision nucleotide modification of the genome at high efficiency, rapidly and economically. Here we focus on the modification of the mouse genome; the mouse, with its short generation time and comparatively low maintenance/production costs is the perfect mammal with which to probe the genome to understand its functions and complexities. Further, using targeted nucleases combined with homologous recombination, it is now possible to precisely tailor the genome, creating models of human diseases and conditions directly and efficiently in zygotes derived from any mouse strain. Combined these approaches make it possible to sequentially and progressively refine mouse models to better reflect human disease, test and develop therapeutics. Here, we briefly review the strategies involved in designing targeted nucleases (sgRNAs) providing solutions and outlining in detail the practical processes involved in precision targeting and modification of the mouse genome and the establishing of new precision genetically modified mouse lines.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Student > Master 8 13%
Student > Bachelor 5 8%
Researcher 4 7%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 21 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 25%
Agricultural and Biological Sciences 13 22%
Medicine and Dentistry 3 5%
Neuroscience 2 3%
Computer Science 1 2%
Other 3 5%
Unknown 23 38%
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 07 May 2016.
All research outputs
#15,821,622
of 23,498,099 outputs
Outputs from Methods in molecular biology
#5,527
of 13,368 outputs
Outputs of similar age
#234,750
of 396,908 outputs
Outputs of similar age from Methods in molecular biology
#552
of 1,472 outputs
Altmetric has tracked 23,498,099 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 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 396,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.