| 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 2 | 5% |
| Unknown | 19 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Computer Science | 5 | 12% |
| Unspecified | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 7 | 16% |
| Unknown | 22 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 May 2024.
All research outputs
#5,316,579
of 25,923,151 outputs
Outputs from World Journal of Urology
#516
of 2,364 outputs
Outputs of similar age
#117,779
of 480,157 outputs
Outputs of similar age from World Journal of Urology
#21
of 67 outputs
Altmetric has tracked 25,923,151 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,364 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 78% 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 480,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.