↓ Skip to main content

PNAS

Demographic science aids in understanding the spread and fatality rates of COVID-19

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2020
Altmetric Badge

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
84 news outlets
blogs
5 blogs
policy
8 policy sources
twitter
271 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
764 Dimensions

Readers on

mendeley
979 Mendeley
Title
Demographic science aids in understanding the spread and fatality rates of COVID-19
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2020
DOI 10.1073/pnas.2004911117
Pubmed ID
Authors

Jennifer Beam Dowd, Liliana Andriano, David M Brazel, Valentina Rotondi, Per Block, Xuejie Ding, Yan Liu, Melinda C Mills

X Demographics

X Demographics

The data shown below were collected from the profiles of 271 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 979 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 979 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 147 15%
Student > Master 105 11%
Student > Ph. D. Student 104 11%
Student > Bachelor 91 9%
Student > Doctoral Student 57 6%
Other 201 21%
Unknown 274 28%
Readers by discipline Count As %
Medicine and Dentistry 123 13%
Social Sciences 110 11%
Biochemistry, Genetics and Molecular Biology 50 5%
Agricultural and Biological Sciences 46 5%
Nursing and Health Professions 41 4%
Other 289 30%
Unknown 320 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 888. 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 28 December 2022.
All research outputs
#19,931
of 25,593,129 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#616
of 103,400 outputs
Outputs of similar age
#975
of 387,970 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#20
of 974 outputs
Altmetric has tracked 25,593,129 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 103,400 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. 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 387,970 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 974 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.