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Oxford University Press

Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries

Overview of attention for article published in International Journal of Epidemiology, September 2021
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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 (#2 of 5,706)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
131 news outlets
blogs
19 blogs
policy
3 policy sources
twitter
3413 tweeters
facebook
3 Facebook pages
wikipedia
3 Wikipedia pages
reddit
5 Redditors

Citations

dimensions_citation
157 Dimensions

Readers on

mendeley
161 Mendeley
Title
Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries
Published in
International Journal of Epidemiology, September 2021
DOI 10.1093/ije/dyab207
Pubmed ID
Authors

José Manuel Aburto, Jonas Schöley, Ilya Kashnitsky, Luyin Zhang, Charles Rahal, Trifon I Missov, Melinda C Mills, Jennifer B Dowd, Ridhi Kashyap

Twitter Demographics

The data shown below were collected from the profiles of 3,413 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 11%
Researcher 18 11%
Student > Master 17 11%
Unspecified 12 7%
Professor 11 7%
Other 37 23%
Unknown 48 30%
Readers by discipline Count As %
Social Sciences 20 12%
Medicine and Dentistry 16 10%
Unspecified 11 7%
Economics, Econometrics and Finance 9 6%
Nursing and Health Professions 7 4%
Other 39 24%
Unknown 59 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 2837. 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 04 June 2023.
All research outputs
#2,235
of 23,947,581 outputs
Outputs from International Journal of Epidemiology
#2
of 5,706 outputs
Outputs of similar age
#129
of 436,008 outputs
Outputs of similar age from International Journal of Epidemiology
#2
of 122 outputs
Altmetric has tracked 23,947,581 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 5,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. 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 436,008 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 122 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 99% of its contemporaries.