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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Chapter title
Mouse Models for Drug Discovery
Chapter number 18
Book title
Mouse Models for Drug Discovery
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3661-8_18
Pubmed ID
Book ISBNs
978-1-4939-3659-5, 978-1-4939-3661-8
Authors

Janus, Christopher, Hernandez, Carolina, deLelys, Victoria, Roder, Hanno, Welzl, Hans, Christopher Janus, Carolina Hernandez, Victoria deLelys, Hanno Roder, Hans Welzl

Editors

Gabriele Proetzel, Michael V. Wiles

Abstract

The major symptom of Alzheimer's disease is dementia progressing with age. Its clinical diagnosis is preceded by a long prodromal period of brain pathology that encompasses both formation of extracellular amyloid and intraneuronal tau deposits in the brain and widespread neuronal death. At present, familial cases of dementia provide the most promising foundation for modeling neurodegenerative tauopathies, a group of heterogeneous disorders characterized by prominent intracellular accumulation of hyperphosphorylated tau protein. In this chapter, we describe major behavioral hallmarks of tauopathies, briefly outline the genetics underlying familial cases, and discuss the arising implications for modeling the disease in transgenic mouse systems. The selection of tests performed to evaluate the phenotype of a model should be guided by the key behavioral hallmarks that characterize human disorder and their homology to mouse cognitive systems. We attempt to provide general guidelines and establish criteria for modeling dementia in a mouse; however, interpretations of obtained results should avoid a reductionist "one gene, one disease" explanation of model characteristics. Rather, the focus should be directed to the question of how the mouse genome can cope with the over-expression of the protein coded by transgene(s). While each model is valuable within its own constraints and the experiments performed are guided by specific hypotheses, we seek to expand upon their methodology by offering guidance spanning from issues of mouse husbandry to choices of behavioral tests and routes of drug administration that might increase the external validity of studies and consequently optimize the translational aspect of preclinical research.

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 4 17%
Student > Bachelor 3 13%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Other 3 13%
Unknown 6 26%
Readers by discipline Count As %
Neuroscience 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Psychology 3 13%
Medicine and Dentistry 3 13%
Nursing and Health Professions 2 9%
Other 2 9%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 May 2016.
All research outputs
#3,207,210
of 22,869,263 outputs
Outputs from Methods in molecular biology
#747
of 13,128 outputs
Outputs of similar age
#58,288
of 393,652 outputs
Outputs of similar age from Methods in molecular biology
#131
of 1,470 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 393,652 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.