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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
99 news outlets
blogs
7 blogs
policy
5 policy sources
twitter
4034 tweeters
facebook
10 Facebook pages
wikipedia
1 Wikipedia page
reddit
2 Redditors

Citations

dimensions_citation
574 Dimensions

Readers on

mendeley
852 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

Twitter Demographics

The data shown below were collected from the profiles of 4,034 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 852 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 852 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 132 15%
Researcher 104 12%
Student > Bachelor 97 11%
Student > Ph. D. Student 57 7%
Other 43 5%
Other 159 19%
Unknown 260 31%
Readers by discipline Count As %
Medicine and Dentistry 142 17%
Social Sciences 76 9%
Nursing and Health Professions 65 8%
Business, Management and Accounting 28 3%
Biochemistry, Genetics and Molecular Biology 28 3%
Other 204 24%
Unknown 309 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2941. 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 01 January 2023.
All research outputs
#2,177
of 24,501,737 outputs
Outputs from The Lancet
#126
of 41,783 outputs
Outputs of similar age
#134
of 426,521 outputs
Outputs of similar age from The Lancet
#7
of 347 outputs
Altmetric has tracked 24,501,737 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 41,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.0. 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 426,521 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 347 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.