| Title |
Leveraging epidemiological principles to evaluate Sweden’s COVID-19 response
|
|---|---|
| Published in |
Annals of Epidemiology, November 2020
|
| DOI | 10.1016/j.annepidem.2020.11.005 |
| Pubmed ID | |
| Authors |
Stefan Baral, Rebecca Chandler, Ruth Gil Prieto, Sunetra Gupta, Sharmistha Mishra, Martin Kulldorff |
X Demographics
The data shown below were collected from the profiles of 805 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 | 167 | 21% |
| United Kingdom | 57 | 7% |
| Canada | 24 | 3% |
| Sweden | 10 | 1% |
| Spain | 10 | 1% |
| Switzerland | 9 | 1% |
| Germany | 9 | 1% |
| Australia | 9 | 1% |
| Netherlands | 6 | <1% |
| Other | 68 | 8% |
| Unknown | 436 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 712 | 88% |
| Scientists | 43 | 5% |
| Practitioners (doctors, other healthcare professionals) | 30 | 4% |
| Science communicators (journalists, bloggers, editors) | 19 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 170 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 14% |
| Researcher | 21 | 12% |
| Student > Bachelor | 15 | 9% |
| Student > Ph. D. Student | 10 | 6% |
| Student > Doctoral Student | 9 | 5% |
| Other | 21 | 12% |
| Unknown | 70 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 14% |
| Nursing and Health Professions | 14 | 8% |
| Social Sciences | 14 | 8% |
| Business, Management and Accounting | 4 | 2% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Other | 29 | 17% |
| Unknown | 81 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 588. 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 11 December 2023.
All research outputs
#40,122
of 25,753,031 outputs
Outputs from Annals of Epidemiology
#6
of 2,047 outputs
Outputs of similar age
#1,348
of 528,168 outputs
Outputs of similar age from Annals of Epidemiology
#1
of 21 outputs
Altmetric has tracked 25,753,031 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 2,047 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. 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 528,168 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 21 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 95% of its contemporaries.