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

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	32300018
Authors	Jennifer Beam Dowd, Liliana Andriano, David M. Brazel, Valentina Rotondi, Per Block, Xuejie Ding, Yan Liu, Melinda C. Mills

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Twitter Demographics

The data shown below were collected from the profiles of 283 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United States	46	16%
United Kingdom	35	12%
Spain	12	4%
Germany	11	4%
Canada	8	3%
Japan	6	2%
Ireland	5	2%
Brazil	5	2%
Australia	5	2%
Other	44	16%
Unknown	106	37%

Demographic breakdown

Type	Count	As %
Members of the public	166	59%
Scientists	88	31%
Science communicators (journalists, bloggers, editors)	15	5%
Practitioners (doctors, other healthcare professionals)	14	5%

Mendeley readers

The data shown below were compiled from readership statistics for 935 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	935	100%

Demographic breakdown

Readers by professional status	Count	As %
Researcher	144	15%
Student > Master	105	11%
Student > Ph. D. Student	102	11%
Student > Bachelor	89	10%
Student > Doctoral Student	57	6%
Other	195	21%
Unknown	243	26%

Readers by discipline	Count	As %
Medicine and Dentistry	118	13%
Social Sciences	106	11%
Biochemistry, Genetics and Molecular Biology	51	5%
Agricultural and Biological Sciences	45	5%
Nursing and Health Professions	39	4%
Other	285	30%
Unknown	291	31%

Attention Score in Context

This research output has an Altmetric Attention Score of 894. 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

#16,510

of 23,390,392 outputs

Outputs from Proceedings of the National Academy of Sciences of the United States of America

#530

of 99,344 outputs

Outputs of similar age

#722

of 344,731 outputs

Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America

#18

of 976 outputs

Altmetric has tracked 23,390,392 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 99,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.5. 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 344,731 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 976 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.

PNAS

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

About this Attention Score

Mentioned by

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Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context