| Title |
The effect of large-scale anti-contagion policies on the COVID-19 pandemic
|
|---|---|
| Published in |
Nature, June 2020
|
| DOI | 10.1038/s41586-020-2404-8 |
| Pubmed ID | |
| Authors |
Solomon Hsiang, Daniel Allen, Sébastien Annan-Phan, Kendon Bell, Ian Bolliger, Trinetta Chong, Hannah Druckenmiller, Luna Yue Huang, Andrew Hultgren, Emma Krasovich, Peiley Lau, Jaecheol Lee, Esther Rolf, Jeanette Tseng, Tiffany Wu |
X Demographics
The data shown below were collected from the profiles of 3,304 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 | 448 | 14% |
| Brazil | 219 | 7% |
| United Kingdom | 120 | 4% |
| France | 104 | 3% |
| Japan | 78 | 2% |
| Colombia | 75 | 2% |
| Spain | 66 | 2% |
| Panama | 63 | 2% |
| Argentina | 62 | 2% |
| Other | 511 | 15% |
| Unknown | 1558 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2765 | 84% |
| Scientists | 363 | 11% |
| Practitioners (doctors, other healthcare professionals) | 115 | 3% |
| Science communicators (journalists, bloggers, editors) | 59 | 2% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1225 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 170 | 14% |
| Student > Master | 142 | 12% |
| Student > Ph. D. Student | 128 | 10% |
| Student > Bachelor | 93 | 8% |
| Other | 60 | 5% |
| Other | 228 | 19% |
| Unknown | 404 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 160 | 13% |
| Social Sciences | 96 | 8% |
| Economics, Econometrics and Finance | 76 | 6% |
| Engineering | 47 | 4% |
| Nursing and Health Professions | 41 | 3% |
| Other | 335 | 27% |
| Unknown | 470 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4419. 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 November 2023.
All research outputs
#1,023
of 25,775,807 outputs
Outputs from Nature
#93
of 98,706 outputs
Outputs of similar age
#85
of 434,539 outputs
Outputs of similar age from Nature
#7
of 963 outputs
Altmetric has tracked 25,775,807 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 98,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. 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 434,539 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 963 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.