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Mouse Models for Drug Discovery

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

Table of Contents

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    Book Overview
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    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
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    Chapter 21 Mouse Models for Drug Discovery
Attention for Chapter 15: Mouse Models for Drug Discovery
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Chapter title
Mouse Models for Drug Discovery
Chapter number 15
Book title
Mouse Models for Drug Discovery
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3661-8_15
Pubmed ID
27150095
Book ISBNs
978-1-4939-3659-5, 978-1-4939-3661-8
Authors

Bergner, Carisa L, Smolinsky, Amanda N, Hart, Peter C, Dufour, Brett D, Egan, Rupert J, LaPorte, Justin L, Kalueff, Allan V, Carisa L. Bergner, Amanda N. Smolinsky, Peter C. Hart, Brett D. Dufour, Rupert J. Egan, Justin L. LaPorte, Allan V. Kalueff Ph.D., Allan V. Kalueff

Editors

Gabriele Proetzel, Michael V. Wiles

Abstract

Depression is a common psychiatric disorder, with diverse symptoms and high comorbidity with other brain dysfunctions. Due to this complexity, little is known about the neural and genetic mechanisms involved in depression pathogenesis. In a large proportion of patients, current antidepressant treatments are often ineffective and/or have undesirable side effects, fueling the search for more effective drugs. Animal models mimicking various symptoms of depression are indispensable in studying the biological mechanisms of this disease. Here, we summarize several popular methods for assessing depression-like symptoms in mice, and their utility in screening antidepressant drugs.

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

Geographical breakdown

Country Count As %
United States 1 2%
Denmark 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 19%
Researcher 7 15%
Student > Master 5 11%
Student > Bachelor 5 11%
Professor 3 6%
Other 11 23%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 21%
Neuroscience 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Biochemistry, Genetics and Molecular Biology 4 9%
Medicine and Dentistry 4 9%
Other 8 17%
Unknown 11 23%
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 19 December 2017.
All research outputs
#18,456,836
of 22,869,263 outputs
Outputs from Methods in molecular biology
#7,924
of 13,128 outputs
Outputs of similar age
#284,502
of 393,652 outputs
Outputs of similar age from Methods in molecular biology
#846
of 1,470 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 393,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
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 is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.

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