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
The data shown below were collected from the profiles of 13,155 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 | 1068 | 8% |
Japan | 907 | 7% |
Germany | 612 | 5% |
Brazil | 420 | 3% |
United Kingdom | 321 | 2% |
Spain | 316 | 2% |
France | 269 | 2% |
Argentina | 244 | 2% |
Canada | 231 | 2% |
Other | 1443 | 11% |
Unknown | 7324 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11817 | 90% |
Scientists | 839 | 6% |
Practitioners (doctors, other healthcare professionals) | 280 | 2% |
Science communicators (journalists, bloggers, editors) | 201 | 2% |
Unknown | 18 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 874 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 874 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 140 | 16% |
Student > Ph. D. Student | 95 | 11% |
Student > Master | 87 | 10% |
Student > Bachelor | 69 | 8% |
Other | 45 | 5% |
Other | 162 | 19% |
Unknown | 276 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 96 | 11% |
Agricultural and Biological Sciences | 51 | 6% |
Social Sciences | 44 | 5% |
Biochemistry, Genetics and Molecular Biology | 42 | 5% |
Nursing and Health Professions | 34 | 4% |
Other | 278 | 32% |
Unknown | 329 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9124. 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 02 April 2024.
All research outputs
#235
of 25,748,735 outputs
Outputs from Science
#12
of 83,284 outputs
Outputs of similar age
#20
of 528,265 outputs
Outputs of similar age from Science
#2
of 892 outputs
Altmetric has tracked 25,748,735 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 83,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. 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 528,265 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.