| Title |
First two months of the 2019 Coronavirus Disease (COVID-19) epidemic in China: real-time surveillance and evaluation with a second derivative model
|
|---|---|
| Published in |
Global Health Research and Policy, March 2020
|
| DOI | 10.1186/s41256-020-00137-4 |
| Pubmed ID | |
| Authors |
Xinguang Chen, Bin Yu |
X Demographics
The data shown below were collected from the profiles of 31 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 | 4 | 13% |
| Canada | 2 | 6% |
| Philippines | 2 | 6% |
| Italy | 1 | 3% |
| Bulgaria | 1 | 3% |
| South Africa | 1 | 3% |
| Argentina | 1 | 3% |
| Japan | 1 | 3% |
| Australia | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 81% |
| Scientists | 3 | 10% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 503 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 503 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 77 | 15% |
| Student > Master | 57 | 11% |
| Student > Bachelor | 47 | 9% |
| Student > Ph. D. Student | 45 | 9% |
| Professor | 26 | 5% |
| Other | 118 | 23% |
| Unknown | 133 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 97 | 19% |
| Nursing and Health Professions | 39 | 8% |
| Biochemistry, Genetics and Molecular Biology | 30 | 6% |
| Social Sciences | 23 | 5% |
| Agricultural and Biological Sciences | 18 | 4% |
| Other | 128 | 25% |
| Unknown | 168 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 10 December 2023.
All research outputs
#1,179,184
of 25,460,914 outputs
Outputs from Global Health Research and Policy
#26
of 265 outputs
Outputs of similar age
#29,210
of 384,760 outputs
Outputs of similar age from Global Health Research and Policy
#4
of 11 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 265 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 90% 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 384,760 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
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 has gotten more attention than average, scoring higher than 72% of its contemporaries.