| Title |
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer
|
|---|---|
| Published in |
International Journal of Medical Informatics, December 2019
|
| DOI | 10.1016/j.ijmedinf.2019.104068 |
| Pubmed ID | |
| Authors |
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Iris Sawazaki-Calone, Luiz Paulo Kowalski, Caj Haglund, Ricardo D Coletta, Antti A Mäkitie, Tuula Salo, Alhadi Almangush, Ilmo Leivo |
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 % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 182 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 12% |
| Student > Bachelor | 13 | 7% |
| Student > Ph. D. Student | 12 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Unspecified | 9 | 5% |
| Other | 26 | 14% |
| Unknown | 92 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 12% |
| Computer Science | 16 | 9% |
| Unspecified | 10 | 5% |
| Biochemistry, Genetics and Molecular Biology | 6 | 3% |
| Engineering | 5 | 3% |
| Other | 23 | 13% |
| Unknown | 100 | 55% |
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 13 January 2020.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from International Journal of Medical Informatics
#1,746
of 1,909 outputs
Outputs of similar age
#410,525
of 482,867 outputs
Outputs of similar age from International Journal of Medical Informatics
#34
of 36 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% 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 482,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.