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Epidemiological models are important tools for guiding COVID-19 interventions

Overview of attention for article published in BMC Medicine, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

blogs
1 blog
twitter
15 tweeters

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
134 Mendeley
Title
Epidemiological models are important tools for guiding COVID-19 interventions
Published in
BMC Medicine, May 2020
DOI 10.1186/s12916-020-01628-4
Pubmed ID
Authors

Robin N. Thompson

Twitter Demographics

The data shown below were collected from the profiles of 15 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 16%
Student > Bachelor 20 15%
Researcher 16 12%
Student > Ph. D. Student 10 7%
Other 9 7%
Other 28 21%
Unknown 30 22%
Readers by discipline Count As %
Medicine and Dentistry 31 23%
Computer Science 9 7%
Nursing and Health Professions 8 6%
Mathematics 8 6%
Agricultural and Biological Sciences 6 4%
Other 36 27%
Unknown 36 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 July 2021.
All research outputs
#1,420,859
of 18,990,581 outputs
Outputs from BMC Medicine
#1,030
of 2,848 outputs
Outputs of similar age
#39,478
of 298,851 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 18,990,581 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,848 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one has gotten more attention than average, scoring higher than 63% 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 298,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them