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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Master | 5 | 13% |
| Student > Postgraduate | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 9 | 24% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Veterinary Science and Veterinary Medicine | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 9 | 24% |
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
#15,274,055
of 22,713,403 outputs
Outputs from Journal of Translational Medicine
#2,233
of 3,973 outputs
Outputs of similar age
#120,423
of 194,634 outputs
Outputs of similar age from Journal of Translational Medicine
#23
of 31 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 194,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.