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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic Prostate Cancer Classifier Predicts Biochemical Failure and Metastases in Patients After Postoperative Radiation Therapy
|
|---|---|
| Published in |
International Journal of Radiation Oncology, Biology, Physics, July 2014
|
| DOI | 10.1016/j.ijrobp.2014.04.052 |
| Pubmed ID | |
| Authors |
Robert B. Den, Felix Y. Feng, Timothy N. Showalter, Mark V. Mishra, Edouard J. Trabulsi, Costas D. Lallas, Leonard G. Gomella, W. Kevin Kelly, Ruth C. Birbe, Peter A. McCue, Mercedeh Ghadessi, Kasra Yousefi, Elai Davicioni, Karen E. Knudsen, Adam P. Dicker |
| Abstract |
To test the hypothesis that a genomic classifier (GC) would predict biochemical failure (BF) and distant metastasis (DM) in men receiving radiation therapy (RT) after radical prostatectomy (RP). |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Italy | 1 | 20% |
| Netherlands | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 2% |
| United Kingdom | 1 | <1% |
| Russia | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 104 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 20% |
| Student > Ph. D. Student | 13 | 12% |
| Other | 10 | 9% |
| Student > Master | 10 | 9% |
| Student > Doctoral Student | 10 | 9% |
| Other | 31 | 28% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 53 | 49% |
| Agricultural and Biological Sciences | 13 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Unspecified | 6 | 6% |
| Computer Science | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 20 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 November 2019.
All research outputs
#1,615,597
of 25,460,914 outputs
Outputs from International Journal of Radiation Oncology, Biology, Physics
#559
of 11,103 outputs
Outputs of similar age
#15,672
of 240,446 outputs
Outputs of similar age from International Journal of Radiation Oncology, Biology, Physics
#2
of 79 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,103 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 94% 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 240,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.