| Title |
Plasma-seq: a novel strategy for metastatic prostate cancer analysis
|
|---|---|
| Published in |
Genome Medicine, April 2013
|
| DOI | 10.1186/gm439 |
| Pubmed ID | |
| Authors |
Caitlin Farris, Jeffrey M Trimarchi |
| Abstract |
Personalized genomics will only be useful for monitoring the prognosis of patients with cancer when it becomes much more cost-effective and quicker to apply. A recent study brings this closer to reality with the development of plasma-seq, a rapid, low-cost method that sequences the circulating DNA present in the peripheral blood of patients with cancer. The power of this technique is demonstrated with the examination of tumor genomes from patients with prostate cancer. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Sweden | 1 | 2% |
| Unknown | 40 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 40% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Other | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 26% |
| Agricultural and Biological Sciences | 11 | 26% |
| Medicine and Dentistry | 8 | 19% |
| Neuroscience | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 20 April 2021.
All research outputs
#6,753,656
of 25,371,288 outputs
Outputs from Genome Medicine
#1,107
of 1,585 outputs
Outputs of similar age
#53,200
of 204,179 outputs
Outputs of similar age from Genome Medicine
#23
of 28 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 29th percentile – i.e., 29% 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 204,179 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.