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The Biology of Skeletal Metastases

Overview of attention for book
Attention for Chapter 3: Animal Models of Bone Metastasis
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Chapter title
Animal Models of Bone Metastasis
Chapter number 3
Book title
The Biology of Skeletal Metastases
Published in
Cancer treatment and research, November 2012
DOI 10.1007/978-1-4419-9129-4_3
Pubmed ID
Book ISBNs
978-1-4613-4803-0, 978-1-4419-9129-4
Authors

Thomas J. Rosol, Sarah H. Tannehill-Gregg, Bruce E. LeRoy, Stefanie Mandl, Christopher H. Contag, Rosol, Thomas J., Tannehill-Gregg, Sarah H., Corn, Stephanie, Schneider, Abraham, McCauley, Laurie K.

Abstract

Animal models will continue to be indispensable to investigate the pathogenesis of bone metastasis in vivo, conduct preclinical chemotherapeutic, chemoprevention and genetic therapy studies, test gene delivery mechanisms, and identify metastasis suppressor and inducer genes. It is likely that the bone marrow microenvironment, such as the endothelial cells, stromal cells, hematopoietic cells, bone cells, and the intercellular matrix play important roles in the localization and clonal growth of cancer cells in bone. Given the complexity of bone metastasis, many genes are expected to be involved in the pathogenesis and few are likely indispensable. The use of genomic and proteomic approaches to study these animal models will identify key targets for therapeutic intervention. As we further refine these models and use imaging for real-time evaluation of cells, and eventually target genes, these models will more closely mirror human disease and will hopefully become more predictive of the human response to therapy.

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 38%
Student > Ph. D. Student 2 25%
Student > Bachelor 1 13%
Student > Master 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Biochemistry, Genetics and Molecular Biology 2 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Agricultural and Biological Sciences 1 13%
Mathematics 1 13%
Other 0 0%
Unknown 1 13%
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 12 November 2012.
All research outputs
#18,836,571
of 23,342,092 outputs
Outputs from Cancer treatment and research
#125
of 167 outputs
Outputs of similar age
#138,428
of 181,269 outputs
Outputs of similar age from Cancer treatment and research
#1
of 1 outputs
Altmetric has tracked 23,342,092 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 167 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 14th percentile – i.e., 14% 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 181,269 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them