| Title |
Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning
|
|---|---|
| Published in |
Journal of Big Data, March 2023
|
| DOI | 10.1186/s40537-023-00714-7 |
| Authors |
John Adeoye, Mohamad Koohi-Moghadam, Siu-Wai Choi, Li-Wu Zheng, Anthony Wing Ip Lo, Raymond King-Yin Tsang, Velda Ling Yu Chow, Abdulwarith Akinshipo, Peter Thomson, Yu-Xiong Su |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 2 | 67% |
| Hong Kong | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 7% |
| Researcher | 2 | 7% |
| Librarian | 1 | 3% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Student > Postgraduate | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 22 | 76% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 10% |
| Computer Science | 2 | 7% |
| Social Sciences | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unknown | 22 | 76% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 April 2023.
All research outputs
#13,793,443
of 24,272,486 outputs
Outputs from Journal of Big Data
#158
of 364 outputs
Outputs of similar age
#158,227
of 405,170 outputs
Outputs of similar age from Journal of Big Data
#2
of 6 outputs
Altmetric has tracked 24,272,486 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 56% 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 405,170 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
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 4 of them.