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Title |
Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer
|
---|---|
Published in |
Cancer Management and Research, November 2021
|
DOI | 10.2147/cmar.s330591 |
Pubmed ID | |
Authors |
Wen-Cai Liu, Ming-Xuan Li, Wen-Xing Qian, Zhi-Wen Luo, Wei-Jie Liao, Zhi-Li Liu, Jia-Ming Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Netherlands | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 18% |
Student > Ph. D. Student | 3 | 14% |
Student > Bachelor | 3 | 14% |
Researcher | 1 | 5% |
Professor > Associate Professor | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 27% |
Engineering | 3 | 14% |
Computer Science | 2 | 9% |
Nursing and Health Professions | 1 | 5% |
Veterinary Science and Veterinary Medicine | 1 | 5% |
Other | 0 | 0% |
Unknown | 9 | 41% |
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 01 December 2021.
All research outputs
#14,736,776
of 23,885,338 outputs
Outputs from Cancer Management and Research
#549
of 2,014 outputs
Outputs of similar age
#210,478
of 429,653 outputs
Outputs of similar age from Cancer Management and Research
#26
of 111 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,014 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 71% 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 429,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.