| Title |
Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model
|
|---|---|
| Published in |
Global Health Research and Policy, May 2020
|
| DOI | 10.1186/s41256-020-00152-5 |
| Pubmed ID | |
| Authors |
Ding-Geng Chen, Xinguang Chen, Jenny K. Chen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 10% |
| Researcher | 9 | 9% |
| Other | 8 | 8% |
| Professor | 8 | 8% |
| Student > Master | 8 | 8% |
| Other | 24 | 23% |
| Unknown | 37 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 18% |
| Social Sciences | 7 | 7% |
| Engineering | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 22 | 21% |
| Unknown | 41 | 39% |
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 16 July 2020.
All research outputs
#15,617,824
of 23,221,875 outputs
Outputs from Global Health Research and Policy
#173
of 201 outputs
Outputs of similar age
#242,207
of 387,699 outputs
Outputs of similar age from Global Health Research and Policy
#10
of 11 outputs
Altmetric has tracked 23,221,875 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 201 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 8th percentile – i.e., 8% 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 387,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.