| Title |
Leveraging epidemiological principles to evaluate Sweden’s COVID-19 response
|
|---|---|
| Published in |
Annals of Epidemiology, February 2021
|
| DOI | 10.1016/j.annepidem.2020.11.005 |
| Pubmed ID | |
| Authors |
Stefan Baral, Rebecca Chandler, Ruth Gil Prieto, Sunetra Gupta, Sharmistha Mishra, Martin Kulldorff |
Twitter Demographics
The data shown below were collected from the profiles of 819 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 165 | 20% |
| United Kingdom | 54 | 7% |
| Canada | 28 | 3% |
| Sweden | 11 | 1% |
| Spain | 10 | 1% |
| Switzerland | 9 | 1% |
| Australia | 9 | 1% |
| Germany | 8 | <1% |
| Netherlands | 6 | <1% |
| Other | 67 | 8% |
| Unknown | 452 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 722 | 88% |
| Scientists | 46 | 6% |
| Practitioners (doctors, other healthcare professionals) | 31 | 4% |
| Science communicators (journalists, bloggers, editors) | 19 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 172 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 13% |
| Researcher | 19 | 11% |
| Student > Bachelor | 16 | 9% |
| Unspecified | 14 | 8% |
| Student > Ph. D. Student | 10 | 6% |
| Other | 28 | 16% |
| Unknown | 62 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 13% |
| Nursing and Health Professions | 14 | 8% |
| Unspecified | 14 | 8% |
| Social Sciences | 12 | 7% |
| Business, Management and Accounting | 4 | 2% |
| Other | 31 | 18% |
| Unknown | 74 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 587. 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 July 2023.
All research outputs
#37,129
of 24,518,979 outputs
Outputs from Annals of Epidemiology
#7
of 1,999 outputs
Outputs of similar age
#1,297
of 515,766 outputs
Outputs of similar age from Annals of Epidemiology
#2
of 32 outputs
Altmetric has tracked 24,518,979 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 1,999 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. 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 515,766 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 32 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 96% of its contemporaries.