The data shown below were collected from the profiles of 13,067 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
Inferring the effectiveness of government interventions against COVID-19
|
|---|---|
| Published in |
Science, December 2020
|
| DOI | 10.1126/science.abd9338 |
| Pubmed ID | |
| Authors |
Jan M Brauner, Sören Mindermann, Mrinank Sharma, David Johnston, John Salvatier, Tomáš Gavenčiak, Anna B Stephenson, Gavin Leech, George Altman, Vladimir Mikulik, Alexander John Norman, Joshua Teperowski Monrad, Tamay Besiroglu, Hong Ge, Meghan A Hartwick, Yee Whye Teh, Leonid Chindelevitch, Yarin Gal, Jan Kulveit |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 725 | 6% |
| Japan | 542 | 4% |
| Germany | 446 | 3% |
| Brazil | 367 | 3% |
| Spain | 199 | 2% |
| United Kingdom | 192 | 1% |
| Argentina | 184 | 1% |
| France | 177 | 1% |
| Canada | 153 | 1% |
| Other | 942 | 7% |
| Unknown | 9140 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11740 | 90% |
| Scientists | 835 | 6% |
| Practitioners (doctors, other healthcare professionals) | 276 | 2% |
| Science communicators (journalists, bloggers, editors) | 198 | 2% |
| Unknown | 18 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 894 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 894 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 142 | 16% |
| Student > Ph. D. Student | 95 | 11% |
| Student > Master | 87 | 10% |
| Student > Bachelor | 69 | 8% |
| Other | 47 | 5% |
| Other | 170 | 19% |
| Unknown | 284 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 96 | 11% |
| Agricultural and Biological Sciences | 52 | 6% |
| Biochemistry, Genetics and Molecular Biology | 45 | 5% |
| Social Sciences | 44 | 5% |
| Computer Science | 35 | 4% |
| Other | 286 | 32% |
| Unknown | 336 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9092. 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 23 June 2024.
All research outputs
#237
of 26,377,159 outputs
Outputs from Science
#12
of 83,959 outputs
Outputs of similar age
#19
of 533,331 outputs
Outputs of similar age from Science
#2
of 892 outputs
Altmetric has tracked 26,377,159 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 83,959 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.5. 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 533,331 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 892 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.