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COVID-19 Dynamics: A Heterogeneous Model

Overview of attention for article published in Frontiers in Public Health, January 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
53 Mendeley
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Title
COVID-19 Dynamics: A Heterogeneous Model
Published in
Frontiers in Public Health, January 2021
DOI 10.3389/fpubh.2020.558368
Pubmed ID
Authors

Andrey Gerasimov, Georgy Lebedev, Mikhail Lebedev, Irina Semenycheva

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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 9%
Researcher 5 9%
Student > Master 5 9%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 4 8%
Other 16 30%
Unknown 14 26%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Nursing and Health Professions 4 8%
Environmental Science 3 6%
Computer Science 2 4%
Veterinary Science and Veterinary Medicine 2 4%
Other 10 19%
Unknown 19 36%
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 19 January 2021.
All research outputs
#18,108,894
of 23,263,851 outputs
Outputs from Frontiers in Public Health
#5,284
of 10,747 outputs
Outputs of similar age
#358,187
of 505,461 outputs
Outputs of similar age from Frontiers in Public Health
#236
of 396 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,747 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 43rd percentile – i.e., 43% 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 505,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 396 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.