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Basic epidemiological parameter values from data of real-world in mega-cities: the characteristics of COVID-19 in Beijing, China

Overview of attention for article published in BMC Infectious Diseases, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
118 Mendeley
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

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.
Mendeley readers

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

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.