| 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
The data shown below were collected from the profiles of 272 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 43 | 16% |
| United Kingdom | 33 | 12% |
| Germany | 10 | 4% |
| Spain | 9 | 3% |
| Canada | 8 | 3% |
| Japan | 7 | 3% |
| Brazil | 6 | 2% |
| Australia | 4 | 1% |
| Ireland | 4 | 1% |
| Other | 40 | 15% |
| Unknown | 108 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 158 | 58% |
| Scientists | 87 | 32% |
| Science communicators (journalists, bloggers, editors) | 15 | 6% |
| Practitioners (doctors, other healthcare professionals) | 12 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 987 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 987 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 148 | 15% |
| Student > Master | 106 | 11% |
| Student > Ph. D. Student | 104 | 11% |
| Student > Bachelor | 90 | 9% |
| Student > Doctoral Student | 58 | 6% |
| Other | 202 | 20% |
| Unknown | 279 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 124 | 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 | 291 | 29% |
| Unknown | 325 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 890. 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
#20,376
of 26,018,952 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#624
of 104,124 outputs
Outputs of similar age
#959
of 389,770 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#18
of 975 outputs
Altmetric has tracked 26,018,952 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 104,124 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.8. 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 389,770 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 975 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.