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The Walker 256 Breast Cancer Cell- Induced Bone Pain Model in Rats

Overview of attention for article published in Frontiers in Pharmacology, August 2016
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Title
The Walker 256 Breast Cancer Cell- Induced Bone Pain Model in Rats
Published in
Frontiers in Pharmacology, August 2016
DOI 10.3389/fphar.2016.00286
Pubmed ID
Authors

Priyank A. Shenoy, Andy Kuo, Irina Vetter, Maree T. Smith

Abstract

The majority of patients with terminal breast cancer show signs of bone metastasis, the most common cause of pain in cancer. Clinically available drug treatment options for the relief of cancer-associated bone pain are limited due to either inadequate pain relief and/or dose-limiting side-effects. One of the major hurdles in understanding the mechanism by which breast cancer causes pain after metastasis to the bones is the lack of suitable preclinical models. Until the late twentieth century, all animal models of cancer induced bone pain involved systemic injection of cancer cells into animals, which caused severe deterioration of animal health due to widespread metastasis. In this mini-review we have discussed details of a recently developed and highly efficient preclinical model of breast cancer induced bone pain: Walker 256 cancer cell- induced bone pain in rats. The model involves direct localized injection of cancer cells into a single tibia in rats, which avoids widespread metastasis of cancer cells and hence animals maintain good health throughout the experimental period. This model closely mimics the human pathophysiology of breast cancer induced bone pain and has great potential to aid in the process of drug discovery for treating this intractable pain condition.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 24%
Researcher 6 15%
Student > Ph. D. Student 6 15%
Student > Bachelor 4 10%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 9 22%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 12%
Biochemistry, Genetics and Molecular Biology 5 12%
Agricultural and Biological Sciences 5 12%
Medicine and Dentistry 5 12%
Neuroscience 3 7%
Other 6 15%
Unknown 12 29%
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 31 August 2016.
All research outputs
#20,338,537
of 22,884,315 outputs
Outputs from Frontiers in Pharmacology
#10,121
of 16,172 outputs
Outputs of similar age
#294,482
of 337,459 outputs
Outputs of similar age from Frontiers in Pharmacology
#88
of 155 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,172 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 337,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.