| Title |
Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-Support Models
|
|---|---|
| Published in |
Cancer Management and Research, December 2020
|
| DOI | 10.2147/cmar.s286167 |
| Pubmed ID | |
| Authors |
Hailang Liu, Kun Tang, Ejun Peng, Liang Wang, Ding Xia, Zhiqiang Chen |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Netherlands | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 15% |
| Student > Master | 2 | 15% |
| Unknown | 9 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 2 | 15% |
| Computer Science | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Sports and Recreations | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 January 2021.
All research outputs
#15,130,256
of 23,271,751 outputs
Outputs from Cancer Management and Research
#639
of 2,021 outputs
Outputs of similar age
#290,285
of 509,398 outputs
Outputs of similar age from Cancer Management and Research
#16
of 89 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,021 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 509,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.