Title |
Basic epidemiological parameter values from data of real-world in mega-cities: the characteristics of COVID-19 in Beijing, China
|
---|---|
Published in |
BMC Infectious Diseases, July 2020
|
DOI | 10.1186/s12879-020-05251-9 |
Pubmed ID | |
Authors |
Xiaoli Wang, Yang Pan, Daitao Zhang, Lijuan Chen, Lei Jia, Xinyu Li, Peng Yang, Quanyi Wang, C. Raina Macintyre |
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 % |
---|---|---|
Australia | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 118 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 20 | 17% |
Student > Master | 15 | 13% |
Researcher | 14 | 12% |
Other | 7 | 6% |
Professor | 5 | 4% |
Other | 24 | 20% |
Unknown | 33 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 25% |
Nursing and Health Professions | 10 | 8% |
Agricultural and Biological Sciences | 7 | 6% |
Social Sciences | 5 | 4% |
Biochemistry, Genetics and Molecular Biology | 4 | 3% |
Other | 27 | 23% |
Unknown | 36 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 July 2020.
All research outputs
#15,087,991
of 23,221,875 outputs
Outputs from BMC Infectious Diseases
#4,173
of 7,785 outputs
Outputs of similar age
#237,084
of 399,783 outputs
Outputs of similar age from BMC Infectious Diseases
#62
of 164 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 41st percentile – i.e., 41% 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 399,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 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 59% of its contemporaries.