| Title |
The timeline and risk factors of clinical progression of COVID-19 in Shenzhen, China
|
|---|---|
| Published in |
Journal of Translational Medicine, July 2020
|
| DOI | 10.1186/s12967-020-02423-8 |
| Pubmed ID | |
| Authors |
Fang Wang, Mengyuan Qu, Xuan Zhou, Kai Zhao, Changxiang Lai, Qiyuan Tang, Wenjie Xian, Ruikun Chen, Xuan Li, Zhiyu Li, Qing He, Lei Liu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| United Kingdom | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 178 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 13% |
| Other | 21 | 12% |
| Student > Bachelor | 19 | 11% |
| Researcher | 15 | 8% |
| Student > Ph. D. Student | 13 | 7% |
| Other | 33 | 19% |
| Unknown | 53 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 24% |
| Nursing and Health Professions | 19 | 11% |
| Biochemistry, Genetics and Molecular Biology | 9 | 5% |
| Agricultural and Biological Sciences | 6 | 3% |
| Psychology | 4 | 2% |
| Other | 35 | 20% |
| Unknown | 63 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 26 July 2023.
All research outputs
#5,052,982
of 23,986,470 outputs
Outputs from Journal of Translational Medicine
#858
of 4,252 outputs
Outputs of similar age
#118,204
of 400,861 outputs
Outputs of similar age from Journal of Translational Medicine
#24
of 79 outputs
Altmetric has tracked 23,986,470 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 78% 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 400,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.