↓ Skip to main content

A multi-site feasibility study for personalized medicine in canines with Osteosarcoma

Overview of attention for article published in Journal of Translational Medicine, July 2013
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
32 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A multi-site feasibility study for personalized medicine in canines with Osteosarcoma
Published in
Journal of Translational Medicine, July 2013
DOI 10.1186/1479-5876-11-158
Pubmed ID
Authors

Noel R Monks, David M Cherba, Steven G Kamerling, Heather Simpson, Anthony W Rusk, Derrick Carter, Emily Eugster, Marie Mooney, Robert Sigler, Matthew Steensma, Tessa Grabinski, Keith R Marotti, Craig P Webb

Abstract

A successful therapeutic strategy, specifically tailored to the molecular constitution of an individual and their disease, is an ambitious objective of modern medicine. In this report, we highlight a feasibility study in canine osteosarcoma focused on refining the infrastructure and processes required for prospective clinical trials using a series of gene expression-based Personalized Medicine (PMed) algorithms to predict suitable therapies within 5 days of sample receipt.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Researcher 4 13%
Student > Postgraduate 4 13%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 9%
Other 7 22%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 8 25%
Biochemistry, Genetics and Molecular Biology 4 13%
Veterinary Science and Veterinary Medicine 3 9%
Immunology and Microbiology 2 6%
Computer Science 2 6%
Other 7 22%
Unknown 6 19%

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 03 July 2013.
All research outputs
#2,018,409
of 3,627,324 outputs
Outputs from Journal of Translational Medicine
#413
of 1,024 outputs
Outputs of similar age
#44,485
of 84,862 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 26 outputs
Altmetric has tracked 3,627,324 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,024 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 52% 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 84,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.