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Mathematical models as public troubles in COVID-19 infection control: following the numbers

Overview of attention for article published in Health Sociology Review, May 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 (#10 of 272)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
63 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
93 Mendeley
Title
Mathematical models as public troubles in COVID-19 infection control: following the numbers
Published in
Health Sociology Review, May 2020
DOI 10.1080/14461242.2020.1764376
Pubmed ID
Authors

Tim Rhodes, Kari Lancaster

Twitter Demographics

The data shown below were collected from the profiles of 63 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Student > Ph. D. Student 15 16%
Researcher 10 11%
Professor 6 6%
Student > Doctoral Student 5 5%
Other 24 26%
Unknown 16 17%
Readers by discipline Count As %
Social Sciences 26 28%
Medicine and Dentistry 13 14%
Nursing and Health Professions 6 6%
Engineering 5 5%
Psychology 4 4%
Other 17 18%
Unknown 22 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 17 October 2021.
All research outputs
#570,415
of 19,204,065 outputs
Outputs from Health Sociology Review
#10
of 272 outputs
Outputs of similar age
#17,242
of 291,527 outputs
Outputs of similar age from Health Sociology Review
#3
of 12 outputs
Altmetric has tracked 19,204,065 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 272 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 96% 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 291,527 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 94% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.