| Title |
Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
|
|---|---|
| Published in |
Journal of Big Data, March 2023
|
| DOI | 10.1186/s40537-023-00703-w |
| Authors |
John Adeoye, Liuling Hui, Yu-Xiong Su |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 13% |
| Researcher | 4 | 7% |
| Student > Master | 3 | 5% |
| Other | 2 | 4% |
| Professor | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 37 | 66% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Social Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 39 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2023.
All research outputs
#15,809,727
of 23,485,296 outputs
Outputs from Journal of Big Data
#211
of 355 outputs
Outputs of similar age
#180,069
of 338,941 outputs
Outputs of similar age from Journal of Big Data
#4
of 6 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 338,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.