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Modeling the Global Dynamic Contagion of COVID-19

Overview of attention for article published in Frontiers in Public Health, January 2022
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Mentioned by

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2 X users

Citations

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13 Dimensions

Readers on

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33 Mendeley
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Title
Modeling the Global Dynamic Contagion of COVID-19
Published in
Frontiers in Public Health, January 2022
DOI 10.3389/fpubh.2021.809987
Pubmed ID
Authors

Lijin Xiang, Shiqun Ma, Lu Yu, Wenhao Wang, Zhichao Yin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Lecturer 2 6%
Student > Bachelor 2 6%
Professor 2 6%
Student > Ph. D. Student 1 3%
Other 3 9%
Unknown 18 55%
Readers by discipline Count As %
Social Sciences 3 9%
Economics, Econometrics and Finance 2 6%
Engineering 2 6%
Medicine and Dentistry 2 6%
Business, Management and Accounting 1 3%
Other 4 12%
Unknown 19 58%
Attention Score in Context

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 14 January 2022.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Frontiers in Public Health
#5,761
of 10,006 outputs
Outputs of similar age
#362,552
of 504,162 outputs
Outputs of similar age from Frontiers in Public Health
#413
of 813 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,006 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 24th percentile – i.e., 24% 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 504,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 813 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.