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The Mouse Hospital and Its Integration in Ultra-Precision Approaches to Cancer Care

Overview of attention for article published in Frontiers in oncology, August 2018
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Title
The Mouse Hospital and Its Integration in Ultra-Precision Approaches to Cancer Care
Published in
Frontiers in oncology, August 2018
DOI 10.3389/fonc.2018.00340
Pubmed ID
Authors

John G. Clohessy, Pier Paolo Pandolfi

Abstract

Precision medicine holds real promise for the treatment of cancer. Adapting therapeutic strategies so patients receive individualized treatment protocols, will transform how diseases like cancer are managed. Already, molecular profiling technologies have provided unprecedented capacity to characterize tumors, yet the ability to translate this to actionable outcome in the clinic is limited. To enable real time translation of personalized therapeutic approaches to patient care in a co-clinical manner will require the adoption and integration of approaches that facilitate modeling of patient disease. The Mouse Hospital represents an approach that is ideally suited to pre- and co-clinical evaluation of novel therapeutic strategies for clinical care. Patient derived xenograft (PDX) technologies and in situ tumor modeling approaches using genetically engineered mouse models (GEMMs) already have a proven capacity to mimic human tumor responses, and their application can deliver invaluable insights into appropriate clinical approaches for individual patients by mirroring human clinical trials using a Co-Clinical Trial project and Mouse Hospital infrastructure. Additionally, the integration of the Mouse Hospital with other emerging technologies for the application of precision medicines, including organoid technologies, provides a platform that enables medical centers to truly reap the benefits that precision medicine has to offer.

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 19%
Researcher 3 14%
Student > Master 2 10%
Student > Bachelor 2 10%
Professor > Associate Professor 2 10%
Other 1 5%
Unknown 7 33%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Agricultural and Biological Sciences 2 10%
Immunology and Microbiology 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 10 48%
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 30 August 2018.
All research outputs
#23,405,073
of 26,075,497 outputs
Outputs from Frontiers in oncology
#16,327
of 22,879 outputs
Outputs of similar age
#305,188
of 347,832 outputs
Outputs of similar age from Frontiers in oncology
#145
of 178 outputs
Altmetric has tracked 26,075,497 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 22,879 research outputs from this source. They receive a mean Attention Score of 3.1. 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 347,832 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 178 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.