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.
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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting the Prognosis of Patients in the Coronary Care Unit: A Novel Multi-Category Machine Learning Model Using XGBoost
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, May 2022
|
| DOI | 10.3389/fcvm.2022.764629 |
| Pubmed ID | |
| Authors |
Xingchen Wang, Tianqi Zhu, Minghong Xia, Yu Liu, Yao Wang, Xizhi Wang, Lenan Zhuang, Danfeng Zhong, Jun Zhu, Hong He, Shaoxiang Weng, Junhui Zhu, Dongwu Lai |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 14% |
| Student > Master | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 14% |
| Environmental Science | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Mathematics | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 7 | 50% |
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 May 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,452
of 7,212 outputs
Outputs of similar age
#359,443
of 442,606 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#565
of 946 outputs
Altmetric has tracked 23,312,088 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 7,212 research outputs from this source. They receive a mean Attention Score of 4.3. 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 442,606 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 946 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.