| Title |
Estimating the Serial Interval of the Novel Coronavirus Disease (COVID-19): A Statistical Analysis Using the Public Data in Hong Kong From January 16 to February 15, 2020
|
|---|---|
| Published in |
Frontiers in Physics, September 2020
|
| DOI | 10.3389/fphy.2020.00347 |
| Authors |
Shi Zhao, Daozhou Gao, Zian Zhuang, Marc K. C. Chong, Yongli Cai, Jinjun Ran, Peihua Cao, Kai Wang, Yijun Lou, Weiming Wang, Lin Yang, Daihai He, Maggie H. Wang |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 13% |
| Student > Master | 17 | 13% |
| Student > Ph. D. Student | 13 | 10% |
| Other | 12 | 9% |
| Student > Bachelor | 12 | 9% |
| Other | 24 | 18% |
| Unknown | 36 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 24% |
| Mathematics | 8 | 6% |
| Computer Science | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 5% |
| Engineering | 6 | 5% |
| Other | 25 | 19% |
| Unknown | 48 | 37% |
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 28 December 2021.
All research outputs
#17,230,482
of 25,301,208 outputs
Outputs from Frontiers in Physics
#888
of 4,421 outputs
Outputs of similar age
#262,586
of 415,699 outputs
Outputs of similar age from Frontiers in Physics
#42
of 181 outputs
Altmetric has tracked 25,301,208 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,421 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 77% 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 415,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 181 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 74% of its contemporaries.