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Modeling the Onset of Symptoms of COVID-19

Overview of attention for article published in Frontiers in Public Health, August 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 2,565)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
139 news outlets
blogs
13 blogs
twitter
1251 tweeters
facebook
7 Facebook pages
wikipedia
3 Wikipedia pages
reddit
3 Redditors

Readers on

mendeley
40 Mendeley
Title
Modeling the Onset of Symptoms of COVID-19
Published in
Frontiers in Public Health, August 2020
DOI 10.3389/fpubh.2020.00473
Pubmed ID
Authors

Joseph R. Larsen, Margaret R. Martin, John D. Martin, Peter Kuhn, James B. Hicks

Twitter Demographics

The data shown below were collected from the profiles of 1,251 tweeters 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 15%
Researcher 6 15%
Other 6 15%
Student > Master 5 13%
Professor 2 5%
Other 5 13%
Unknown 10 25%
Readers by discipline Count As %
Medicine and Dentistry 8 20%
Computer Science 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Immunology and Microbiology 2 5%
Social Sciences 2 5%
Other 10 25%
Unknown 12 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2037. 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 25 October 2020.
All research outputs
#1,702
of 16,094,294 outputs
Outputs from Frontiers in Public Health
#1
of 2,565 outputs
Outputs of similar age
#228
of 303,549 outputs
Outputs of similar age from Frontiers in Public Health
#1
of 31 outputs
Altmetric has tracked 16,094,294 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,565 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 99% 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 303,549 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.