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| Title |
Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach
|
|---|---|
| Published in |
Journal of Multidisciplinary Healthcare, June 2023
|
| DOI | 10.2147/jmdh.s410301 |
| Pubmed ID | |
| Authors |
Bo Zhang, Huiping Shi, Hongtao Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 8% |
| United States | 2 | 8% |
| Germany | 1 | 4% |
| North Macedonia | 1 | 4% |
| Sweden | 1 | 4% |
| Ireland | 1 | 4% |
| Unknown | 18 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 88% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 201 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 22 | 11% |
| Student > Ph. D. Student | 18 | 9% |
| Researcher | 15 | 7% |
| Student > Bachelor | 13 | 6% |
| Student > Master | 7 | 3% |
| Other | 16 | 8% |
| Unknown | 110 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 23 | 11% |
| Computer Science | 13 | 6% |
| Biochemistry, Genetics and Molecular Biology | 11 | 5% |
| Medicine and Dentistry | 10 | 5% |
| Engineering | 6 | 3% |
| Other | 21 | 10% |
| Unknown | 117 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 15 August 2024.
All research outputs
#1,320,520
of 26,492,291 outputs
Outputs from Journal of Multidisciplinary Healthcare
#43
of 1,048 outputs
Outputs of similar age
#26,431
of 400,578 outputs
Outputs of similar age from Journal of Multidisciplinary Healthcare
#2
of 40 outputs
Altmetric has tracked 26,492,291 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,048 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 95% 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 400,578 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 40 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 95% of its contemporaries.