The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
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 | 7% |
United States | 2 | 7% |
Germany | 1 | 4% |
North Macedonia | 1 | 4% |
Sweden | 1 | 4% |
Ireland | 1 | 4% |
Unknown | 19 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 89% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 220 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 34 | 15% |
Student > Ph. D. Student | 20 | 9% |
Researcher | 16 | 7% |
Student > Bachelor | 14 | 6% |
Student > Master | 7 | 3% |
Other | 19 | 9% |
Unknown | 110 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 34 | 15% |
Computer Science | 14 | 6% |
Biochemistry, Genetics and Molecular Biology | 13 | 6% |
Medicine and Dentistry | 12 | 5% |
Engineering | 7 | 3% |
Other | 23 | 10% |
Unknown | 117 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 05 September 2024.
All research outputs
#1,296,775
of 26,617,554 outputs
Outputs from Journal of Multidisciplinary Healthcare
#41
of 1,052 outputs
Outputs of similar age
#26,042
of 401,555 outputs
Outputs of similar age from Journal of Multidisciplinary Healthcare
#2
of 41 outputs
Altmetric has tracked 26,617,554 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 1,052 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 96% 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 401,555 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 41 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.