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A novel and generalizable organotypic slice platform to evaluate stem cell potential for targeting pediatric brain tumors

Overview of attention for article published in Cancer Cell International, May 2008
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Title
A novel and generalizable organotypic slice platform to evaluate stem cell potential for targeting pediatric brain tumors
Published in
Cancer Cell International, May 2008
DOI 10.1186/1475-2867-8-9
Pubmed ID
Authors

Shengwen Calvin Li, William Gunter Loudon

Abstract

Brain tumors are now the leading cause of cancer-related deaths in children under age 15. Malignant gliomas are, for all practical purposes, incurable and new therapeutic approaches are desperately needed. One emerging strategy is to use the tumor tracking capacity inherent in many stem cell populations to deliver therapeutic agents to the brain cancer cells. Current limitations of the stem cell therapy strategy include that stem cells are treated as a single entity and lack of uniform technology is adopted for selection of clinically relevant sub-populations of stem cells. Specifically, therapeutic success relies on the selection of a clinically competent stem cell population based on their capacity of targeting brain tumors. A novel and generalizable organotypic slice platform to evaluate stem cell potential for targeting pediatric brain tumors is proposed to fill the gap in the current work flow of stem cell-based therapy. The organotypic slice platform has advantages of being mimic in vivo model, easier to manipulate to optimize parameters than in vivo models such as rodents and primates. This model serves as a framework to address the discrepancy between anticipated in vivo results and actual in vivo results, a critical barrier to timely progress in the field of the use of stem cells for the treatment of neurological disorders.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Ph. D. Student 5 19%
Student > Bachelor 4 15%
Professor > Associate Professor 3 12%
Professor 2 8%
Other 2 8%
Unknown 5 19%
Readers by discipline Count As %
Engineering 4 15%
Agricultural and Biological Sciences 4 15%
Medicine and Dentistry 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 1 4%
Other 5 19%
Unknown 7 27%
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 21 November 2017.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from Cancer Cell International
#1,291
of 2,231 outputs
Outputs of similar age
#82,586
of 96,409 outputs
Outputs of similar age from Cancer Cell International
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,231 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 35th percentile – i.e., 35% 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 96,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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