| Title |
Tree-Based Algorithms and Association Rule Mining for Predicting Patients’ Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining
|
|---|---|
| Published in |
International Journal of General Medicine, September 2022
|
| DOI | 10.2147/ijgm.s384959 |
| Pubmed ID | |
| Authors |
Wei-Chun Lin, Chien-Hsiung Huang, Liang-Tien Chien, Hsiao-Jung Tseng, Chip-Jin Ng, Kuang-Hung Hsu, Chi-Chun Lin, Cheng-Yu Chien |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 8 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 8% |
| Sports and Recreations | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 8 | 67% |
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 19 September 2022.
All research outputs
#18,860,161
of 23,371,053 outputs
Outputs from International Journal of General Medicine
#975
of 1,491 outputs
Outputs of similar age
#300,812
of 433,645 outputs
Outputs of similar age from International Journal of General Medicine
#50
of 82 outputs
Altmetric has tracked 23,371,053 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,491 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 21st percentile – i.e., 21% 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 433,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.