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Lessons learnt from easing COVID-19 restrictions: an analysis of countries and regions in Asia Pacific and Europe

Overview of attention for article published in The Lancet, November 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
98 news outlets
blogs
6 blogs
policy
1 policy source
twitter
3492 tweeters
facebook
10 Facebook pages
wikipedia
1 Wikipedia page
reddit
2 Redditors

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
364 Mendeley
Title
Lessons learnt from easing COVID-19 restrictions: an analysis of countries and regions in Asia Pacific and Europe
Published in
The Lancet, November 2020
DOI 10.1016/s0140-6736(20)32007-9
Pubmed ID
Authors

Emeline Han, Melisa Mei Jin Tan, Eva Turk, Devi Sridhar, Gabriel M Leung, Kenji Shibuya, Nima Asgari, Juhwan Oh, Alberto L García-Basteiro, Johanna Hanefeld, Alex R Cook, Li Yang Hsu, Yik Ying Teo, David Heymann, Helen Clark, Martin McKee, Helena Legido-Quigley

Twitter Demographics

The data shown below were collected from the profiles of 3,492 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 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 364 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 17%
Researcher 55 15%
Student > Bachelor 42 12%
Other 29 8%
Student > Ph. D. Student 29 8%
Other 70 19%
Unknown 76 21%
Readers by discipline Count As %
Medicine and Dentistry 82 23%
Nursing and Health Professions 33 9%
Social Sciences 27 7%
Biochemistry, Genetics and Molecular Biology 15 4%
Agricultural and Biological Sciences 14 4%
Other 94 26%
Unknown 99 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 3024. 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 27 February 2021.
All research outputs
#908
of 17,136,794 outputs
Outputs from The Lancet
#67
of 36,298 outputs
Outputs of similar age
#110
of 316,568 outputs
Outputs of similar age from The Lancet
#6
of 422 outputs
Altmetric has tracked 17,136,794 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 36,298 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 53.5. 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 316,568 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 422 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 98% of its contemporaries.