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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of COVID-19 Patients at High Risk of Progression to Severe Disease
|
|---|---|
| Published in |
Frontiers in Public Health, November 2020
|
| DOI | 10.3389/fpubh.2020.574915 |
| Pubmed ID | |
| Authors |
Zhenyu Dai, Dong Zeng, Dawei Cui, Dawei Wang, Yanling Feng, Yuhan Shi, Liangping Zhao, Jingjing Xu, Wenjuan Guo, Yuexiang Yang, Xinguo Zhao, Duoduo Li, Ye Zheng, Ao Wang, Minmin Wu, Shu Song, Hongzhou Lu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 12% |
| Student > Master | 5 | 10% |
| Other | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 21 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 8% |
| Nursing and Health Professions | 4 | 8% |
| Economics, Econometrics and Finance | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 22 | 45% |
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 20 January 2022.
All research outputs
#15,440,760
of 22,950,943 outputs
Outputs from Frontiers in Public Health
#4,594
of 10,096 outputs
Outputs of similar age
#303,412
of 505,918 outputs
Outputs of similar age from Frontiers in Public Health
#199
of 374 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,096 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 50% 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 505,918 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 374 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.