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| Title |
Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, July 2020
|
| DOI | 10.3389/fcell.2020.00683 |
| Pubmed ID | |
| Authors |
Haochen Yao, Nan Zhang, Ruochi Zhang, Meiyu Duan, Tianqi Xie, Jiahui Pan, Ejun Peng, Juanjuan Huang, Yingli Zhang, Xiaoming Xu, Hong Xu, Fengfeng Zhou, Guoqing Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 195 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 13% |
| Student > Bachelor | 24 | 12% |
| Student > Master | 23 | 12% |
| Student > Ph. D. Student | 19 | 10% |
| Student > Doctoral Student | 15 | 8% |
| Other | 27 | 14% |
| Unknown | 62 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 17% |
| Medicine and Dentistry | 28 | 14% |
| Engineering | 15 | 8% |
| Biochemistry, Genetics and Molecular Biology | 8 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 34 | 17% |
| Unknown | 71 | 36% |
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 31 July 2020.
All research outputs
#20,632,826
of 23,225,652 outputs
Outputs from Frontiers in Cell and Developmental Biology
#6,206
of 9,255 outputs
Outputs of similar age
#340,859
of 398,138 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#281
of 460 outputs
Altmetric has tracked 23,225,652 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 9,255 research outputs from this source. They receive a mean Attention Score of 3.4. 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 398,138 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 460 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.