| Title |
Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system
|
|---|---|
| Published in |
World Journal of Urology, January 2020
|
| DOI | 10.1007/s00345-020-03080-8 |
| Pubmed ID | |
| Authors |
Kyo Chul Koo, Kwang Suk Lee, Suah Kim, Choongki Min, Gyu Rang Min, Young Hwa Lee, Woong Kyu Han, Koon Ho Rha, Sung Joon Hong, Seung Choul Yang, Byung Ha Chung |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 13% |
| Researcher | 5 | 13% |
| Other | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 2 | 5% |
| Unknown | 19 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 13% |
| Medicine and Dentistry | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 7 | 18% |
| Unknown | 21 | 53% |
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 13 January 2020.
All research outputs
#18,046,378
of 23,186,937 outputs
Outputs from World Journal of Urology
#1,712
of 2,125 outputs
Outputs of similar age
#315,930
of 456,275 outputs
Outputs of similar age from World Journal of Urology
#48
of 66 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,125 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 18th percentile – i.e., 18% 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 456,275 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.