| Title |
Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation Strategies
|
|---|---|
| Published in |
Frontiers in Public Health, July 2020
|
| DOI | 10.3389/fpubh.2020.00325 |
| Pubmed ID | |
| Authors |
Qinxia Wang, Shanghong Xie, Yuanjia Wang, Donglin Zeng |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 11% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 7 | 7% |
| Student > Ph. D. Student | 6 | 6% |
| Other | 6 | 6% |
| Other | 27 | 26% |
| Unknown | 35 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 22% |
| Social Sciences | 6 | 6% |
| Economics, Econometrics and Finance | 5 | 5% |
| Engineering | 4 | 4% |
| Psychology | 4 | 4% |
| Other | 22 | 22% |
| Unknown | 39 | 38% |
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 03 July 2020.
All research outputs
#18,732,892
of 23,220,133 outputs
Outputs from Frontiers in Public Health
#6,075
of 10,672 outputs
Outputs of similar age
#299,928
of 397,892 outputs
Outputs of similar age from Frontiers in Public Health
#149
of 219 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,672 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 25th percentile – i.e., 25% 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 397,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.