↓ Skip to main content

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, September 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 3,225)
  • 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
104 news outlets
policy
2 policy sources
twitter
506 X users

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
219 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, September 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 506 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 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 219 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 18%
Researcher 21 10%
Student > Ph. D. Student 21 10%
Student > Bachelor 18 8%
Student > Doctoral Student 15 7%
Other 41 19%
Unknown 64 29%
Readers by discipline Count As %
Medicine and Dentistry 42 19%
Nursing and Health Professions 22 10%
Social Sciences 18 8%
Business, Management and Accounting 10 5%
Economics, Econometrics and Finance 9 4%
Other 48 22%
Unknown 70 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1163. 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 12 May 2022.
All research outputs
#12,747
of 25,791,495 outputs
Outputs from The Lancet Global Health
#17
of 3,225 outputs
Outputs of similar age
#588
of 427,622 outputs
Outputs of similar age from The Lancet Global Health
#1
of 72 outputs
Altmetric has tracked 25,791,495 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 3,225 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.5. 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 427,622 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 72 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.