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Preclinical Modeling and Therapeutic Avenues for Cancer Metastasis to the Central Nervous System

Overview of attention for article published in Frontiers in oncology, September 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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2 X users
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1 Wikipedia page

Citations

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4 Dimensions

Readers on

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54 Mendeley
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Title
Preclinical Modeling and Therapeutic Avenues for Cancer Metastasis to the Central Nervous System
Published in
Frontiers in oncology, September 2017
DOI 10.3389/fonc.2017.00220
Pubmed ID
Authors

Mohini Singh, David Bakhshinyan, Chitra Venugopal, Sheila K. Singh

Abstract

Metastasis is the dissemination of cells from the primary tumor to other locations within the body, and continues to be the predominant cause of death among cancer patients. Metastatic progression within the adult central nervous system is 10 times more frequent than primary brain tumors. Metastases affecting the brain parenchyma and leptomeninges are associated with grave prognosis, and even after successful control of the primary tumor the median survival is a dismal 2-3 months with treatment options typically limited to palliative care. Current treatment options for brain metastases (BM) and disseminated brain tumors are scarce, and the improvement of novel targeted therapies requires a broader understanding of the biological complexity that characterizes metastatic progression. In this review, we provide insight into patterns of BM progression and leptomeningeal spread, outlining the development of clinically relevant in vivo models and their contribution to the discovery of innovative cancer therapies. In vivo models paired with manipulation of in vitro methods have expanded the tools available for investigators to develop agents that can be used to prevent or treat metastatic disease. The knowledge gained from the use of such models can ultimately lead to the prevention of metastatic dissemination and can extend patient survival by transforming a uniformly fatal systemic disease into a locally controlled and eminently more treatable one.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 22%
Researcher 11 20%
Student > Master 6 11%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Biochemistry, Genetics and Molecular Biology 9 17%
Agricultural and Biological Sciences 4 7%
Neuroscience 3 6%
Nursing and Health Professions 2 4%
Other 6 11%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 December 2020.
All research outputs
#7,208,166
of 25,382,440 outputs
Outputs from Frontiers in oncology
#2,461
of 22,428 outputs
Outputs of similar age
#105,513
of 325,249 outputs
Outputs of similar age from Frontiers in oncology
#21
of 97 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 22,428 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 88% of its peers.
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 325,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.