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New Approaches to Drug Discovery

Overview of attention for book
Attention for Chapter 31: Translational In Vivo Models for Cardiovascular Diseases.
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Chapter title
Translational In Vivo Models for Cardiovascular Diseases.
Chapter number 31
Book title
New Approaches to Drug Discovery
Published in
Handbook of experimental pharmacology, November 2015
DOI 10.1007/164_2015_31
Pubmed ID
Book ISBNs
978-3-31-928912-0, 978-3-31-928914-4
Authors

Fliegner, Daniela, Gerdes, Christoph, Meding, Jörg, Stasch, Johannes-Peter, Daniela Fliegner, Christoph Gerdes, Jörg Meding, Johannes-Peter Stasch

Abstract

Cardiovascular diseases are still the first leading cause of death and morbidity in developed countries. Experimental cardiology research and preclinical drug development in cardiology call for appropriate and especially clinically relevant in vitro and in vivo studies. The use of animal models has contributed to expand our knowledge and our understanding of the underlying mechanisms and accordingly provided new approaches focused on the improvement of diagnostic and treatment strategies of various cardiac pathologies.Numerous animal models in different species as well as in small and large animals have been developed to address cardiovascular complications, including heart failure, pulmonary hypertension, and thrombotic diseases. However, a perfect model of heart failure or other indications that reproduces every aspect of the natural disease does not exist. The complexity and heterogeneity of cardiac diseases plus the influence of genetic and environmental factors limit to mirror a particular disease with a single experimental model.Thus, drug development in the field of cardiology is not only very challenging but also inspiring; therefore animal models should be selected that reflect as best as possible the disease being investigated. Given the wide range of animal models, reflecting critical features of the human pathophysiology available nowadays increases the likelihood of the translation to the patients. Furthermore, this knowledge and the increase of the predictive value of preclinical models help us to find more efficient and reliable solutions as well as better and innovative treatment strategies for cardiovascular diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Student > Master 5 20%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Student > Postgraduate 2 8%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 16%
Agricultural and Biological Sciences 4 16%
Medicine and Dentistry 4 16%
Nursing and Health Professions 2 8%
Engineering 2 8%
Other 3 12%
Unknown 6 24%
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 11 November 2015.
All research outputs
#15,350,522
of 22,833,393 outputs
Outputs from Handbook of experimental pharmacology
#395
of 650 outputs
Outputs of similar age
#165,142
of 282,792 outputs
Outputs of similar age from Handbook of experimental pharmacology
#7
of 7 outputs
Altmetric has tracked 22,833,393 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 650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 26th percentile – i.e., 26% 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 282,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.