↓ Skip to main content

Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study

Overview of attention for article published in The Lancet Public Health, August 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 1,044)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
187 news outlets
blogs
7 blogs
policy
6 policy sources
twitter
4041 tweeters
patent
2 patents
facebook
4 Facebook pages
reddit
1 Redditor
video
1 video uploader

Citations

dimensions_citation
615 Dimensions

Readers on

mendeley
675 Mendeley
Title
Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study
Published in
The Lancet Public Health, August 2020
DOI 10.1016/s2468-2667(20)30157-2
Pubmed ID
Authors

Mirjam E Kretzschmar, Ganna Rozhnova, Martin C J Bootsma, Michiel van Boven, Janneke H H M van de Wijgert, Marc J M Bonten

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 4,041 tweeters 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 675 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 675 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 95 14%
Student > Master 81 12%
Student > Ph. D. Student 67 10%
Student > Bachelor 64 9%
Other 31 5%
Other 118 17%
Unknown 219 32%
Readers by discipline Count As %
Medicine and Dentistry 110 16%
Nursing and Health Professions 54 8%
Computer Science 40 6%
Social Sciences 29 4%
Engineering 28 4%
Other 162 24%
Unknown 252 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4017. 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 29 November 2022.
All research outputs
#1,178
of 24,503,201 outputs
Outputs from The Lancet Public Health
#4
of 1,044 outputs
Outputs of similar age
#87
of 403,744 outputs
Outputs of similar age from The Lancet Public Health
#2
of 39 outputs
Altmetric has tracked 24,503,201 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 1,044 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 159.3. 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 403,744 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 39 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 97% of its contemporaries.