↓ Skip to main content

Investigating the effectiveness of re-opening policies before vaccination during a pandemic: SD modelling research based on COVID-19 in Wuhan

Overview of attention for article published in BMC Public Health, September 2021
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Investigating the effectiveness of re-opening policies before vaccination during a pandemic: SD modelling research based on COVID-19 in Wuhan
Published in
BMC Public Health, September 2021
DOI 10.1186/s12889-021-11631-w
Pubmed ID
Authors

Ying Qian, Wei Xie, Jidi Zhao, Ming Xue, Shiyong Liu, Lei Wang, Wanglai Li, Luojia Dai, Yuyang Cai

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 2 14%
Researcher 2 14%
Lecturer 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Nursing and Health Professions 3 21%
Social Sciences 2 14%
Agricultural and Biological Sciences 1 7%
Engineering 1 7%
Unknown 7 50%

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 08 September 2021.
All research outputs
#16,837,788
of 19,040,944 outputs
Outputs from BMC Public Health
#11,772
of 12,592 outputs
Outputs of similar age
#220,929
of 280,996 outputs
Outputs of similar age from BMC Public Health
#1
of 1 outputs
Altmetric has tracked 19,040,944 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 1st percentile – i.e., 1% 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 280,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them