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What Can We Estimate From Fatality and Infectious Case Data Using the Susceptible-Infected-Removed (SIR) Model? A Case Study of Covid-19 Pandemic

Overview of attention for article published in Frontiers in Medicine, September 2020
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1 X user

Citations

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66 Mendeley
Title
What Can We Estimate From Fatality and Infectious Case Data Using the Susceptible-Infected-Removed (SIR) Model? A Case Study of Covid-19 Pandemic
Published in
Frontiers in Medicine, September 2020
DOI 10.3389/fmed.2020.556366
Pubmed ID
Authors

Semra Ahmetolan, Ayse Humeyra Bilge, Ali Demirci, Ayse Peker-Dobie, Onder Ergonul

Timeline
X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Ph. D. Student 6 9%
Other 5 8%
Student > Master 5 8%
Student > Postgraduate 3 5%
Other 12 18%
Unknown 25 38%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Mathematics 4 6%
Nursing and Health Professions 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Environmental Science 3 5%
Other 14 21%
Unknown 27 41%
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 09 September 2020.
All research outputs
#18,745,728
of 23,237,082 outputs
Outputs from Frontiers in Medicine
#4,122
of 5,934 outputs
Outputs of similar age
#301,058
of 399,642 outputs
Outputs of similar age from Frontiers in Medicine
#160
of 208 outputs
Altmetric has tracked 23,237,082 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 5,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 13th percentile – i.e., 13% 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 399,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.