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Overview of attention for book
Attention for Chapter: Protocols for Studies on Stromal Cells in Prostate Cancer
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Chapter title
Protocols for Studies on Stromal Cells in Prostate Cancer
Book title
Prostate Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7845-8_12
Pubmed ID
Book ISBNs
978-1-4939-7843-4, 978-1-4939-7845-8
Authors

Damien A. Leach, Grant Buchanan

Abstract

Interactions between tumor cells and fibroblasts play a pivotal role in cancer development and progression. Indeed, the paracrine communication between these two cell types is known to have physiological effects that alter carcinogenic and metastatic potential. An often overlooked player in these interactions is the involvement of the extracellular matrix (ECM). The network of ECM proteins secreted from fibroblasts is reportedly altered with cancer initiation and progression, and in several cases has been associated with patient outcome. The androgen receptor (AR) is one such example and has been shown to be a dynamic and inducible regulator of ECM production. Contemporary assessment of dynamic multicellular interactions leading to cancer initiation and progression necessitates 3D in vitro modeling to better mimic the in vivo environment. In the current chapter, we describe some simple approaches to generate 3D models of fibroblast-produced ECM, how hormone manipulation of fibroblasts can lead to production of different ECMs, and how these ECM models can be used to test processes implicated in cancer progression and metastasis.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Bachelor 2 14%
Student > Ph. D. Student 2 14%
Professor > Associate Professor 2 14%
Researcher 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Medicine and Dentistry 2 14%
Agricultural and Biological Sciences 1 7%
Computer Science 1 7%
Unknown 5 36%
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 24 May 2018.
All research outputs
#18,623,070
of 23,070,218 outputs
Outputs from Methods in molecular biology
#7,985
of 13,201 outputs
Outputs of similar age
#330,718
of 442,525 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,070,218 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 13,201 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 442,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.