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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
  • Among the highest-scoring outputs from this source (#14 of 300)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
62 X users

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
124 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 62 X users 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Student > Ph. D. Student 16 13%
Researcher 11 9%
Student > Doctoral Student 7 6%
Professor 7 6%
Other 30 24%
Unknown 34 27%
Readers by discipline Count As %
Social Sciences 29 23%
Medicine and Dentistry 13 10%
Nursing and Health Professions 7 6%
Mathematics 5 4%
Engineering 5 4%
Other 24 19%
Unknown 41 33%
Attention Score in Context

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 21 June 2022.
All research outputs
#862,199
of 25,726,194 outputs
Outputs from Health Sociology Review
#14
of 300 outputs
Outputs of similar age
#25,903
of 422,047 outputs
Outputs of similar age from Health Sociology Review
#1
of 5 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 300 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 95% 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 422,047 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 93% of its contemporaries.
We're also able to compare this research output to 5 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