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Projected health-care resource needs for an effective response to COVID-19 in 73 low-income and middle-income countries: a modelling study

Overview of attention for article published in The Lancet Global Health, November 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 2,071)
  • 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
103 news outlets
policy
1 policy source
twitter
479 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
86 Mendeley
Title
Projected health-care resource needs for an effective response to COVID-19 in 73 low-income and middle-income countries: a modelling study
Published in
The Lancet Global Health, November 2020
DOI 10.1016/s2214-109x(20)30383-1
Pubmed ID
Authors

Tessa Tan-Torres Edejer, Odd Hanssen, Andrew Mirelman, Paul Verboom, Glenn Lolong, Oliver John Watson, Lucy Linda Boulanger, Agnès Soucat

Twitter Demographics

The data shown below were collected from the profiles of 479 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Other 9 10%
Student > Bachelor 9 10%
Researcher 9 10%
Student > Ph. D. Student 8 9%
Other 21 24%
Unknown 16 19%
Readers by discipline Count As %
Medicine and Dentistry 23 27%
Nursing and Health Professions 9 10%
Social Sciences 6 7%
Business, Management and Accounting 4 5%
Economics, Econometrics and Finance 4 5%
Other 19 22%
Unknown 21 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1140. 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 10 December 2020.
All research outputs
#5,658
of 16,634,238 outputs
Outputs from The Lancet Global Health
#10
of 2,071 outputs
Outputs of similar age
#472
of 307,099 outputs
Outputs of similar age from The Lancet Global Health
#3
of 74 outputs
Altmetric has tracked 16,634,238 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 2,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.0. 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 307,099 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 74 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.