| Title |
Integrating phosphoproteomics into the clinical management of prostate cancer
|
|---|---|
| Published in |
Clinical and Translational Medicine, February 2017
|
| DOI | 10.1186/s40169-017-0138-5 |
| Pubmed ID | |
| Authors |
Larry C. Cheng, Victor M. Tan, Shridar Ganesan, Justin M. Drake |
| Abstract |
Phosphoproteomic analysis of tumor samples has the potential to uncover significant insights into kinase signaling networks present in late stage prostate cancer that are complementary to genomic and transcriptomic approaches. Phosphoproteomics could potentially aid drug development in clinical trial design as well as provide utility for oncologists in the personalized therapeutic management of individual cancers through identifying novel biomarkers and druggable targets. Rapid advancement of targeted mass spectrometry platforms is underway to integrate phosphoproteomic technology with genomic assays to soon translate this information into the cancer clinic. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 26% |
| Student > Bachelor | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Professor > Associate Professor | 3 | 8% |
| Other | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 21% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Business, Management and Accounting | 3 | 8% |
| Engineering | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 12 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 February 2017.
All research outputs
#15,067,837
of 25,382,440 outputs
Outputs from Clinical and Translational Medicine
#426
of 1,060 outputs
Outputs of similar age
#227,572
of 433,728 outputs
Outputs of similar age from Clinical and Translational Medicine
#6
of 9 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 59% of its peers.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.