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University of Newcastle, Australia

Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis

Overview of attention for article published in PLOS ONE, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
57 Mendeley
Title
Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis
Published in
PLOS ONE, October 2020
DOI 10.1371/journal.pone.0240153
Pubmed ID
Authors

Ali Eshragh, Saed Alizamir, Peter Howley, Elizabeth Stojanovski

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Researcher 8 14%
Student > Master 6 11%
Student > Bachelor 5 9%
Other 5 9%
Other 9 16%
Unknown 16 28%
Readers by discipline Count As %
Medicine and Dentistry 13 23%
Social Sciences 6 11%
Nursing and Health Professions 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Computer Science 2 4%
Other 11 19%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 October 2020.
All research outputs
#5,064,707
of 24,616,908 outputs
Outputs from PLOS ONE
#78,425
of 212,827 outputs
Outputs of similar age
#116,293
of 418,191 outputs
Outputs of similar age from PLOS ONE
#983
of 2,913 outputs
Altmetric has tracked 24,616,908 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 212,827 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 418,191 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 2,913 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 66% of its contemporaries.