| Title |
Susceptibility to misinformation about COVID-19 around the world
|
|---|---|
| Published in |
Royal Society Open Science, October 2020
|
| DOI | 10.1098/rsos.201199 |
| Pubmed ID | |
| Authors |
Jon Roozenbeek, Claudia R. Schneider, Sarah Dryhurst, John Kerr, Alexandra L. J. Freeman, Gabriel Recchia, Anne Marthe van der Bles, Sander van der Linden |
X Demographics
The data shown below were collected from the profiles of 1,004 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 Kingdom | 232 | 23% |
| United States | 95 | 9% |
| Canada | 33 | 3% |
| Ireland | 20 | 2% |
| Switzerland | 14 | 1% |
| Australia | 14 | 1% |
| Japan | 13 | 1% |
| Spain | 12 | 1% |
| Italy | 11 | 1% |
| Other | 122 | 12% |
| Unknown | 438 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 710 | 71% |
| Scientists | 209 | 21% |
| Practitioners (doctors, other healthcare professionals) | 48 | 5% |
| Science communicators (journalists, bloggers, editors) | 37 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,006 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | <1% |
| India | 1 | <1% |
| Turkey | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 1002 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 1% |
| Researcher | 8 | <1% |
| Student > Master | 5 | <1% |
| Professor | 5 | <1% |
| Student > Bachelor | 4 | <1% |
| Other | 8 | <1% |
| Unknown | 965 | 96% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 17 | 2% |
| Physics and Astronomy | 5 | <1% |
| Computer Science | 4 | <1% |
| Psychology | 3 | <1% |
| Mathematics | 3 | <1% |
| Other | 9 | <1% |
| Unknown | 965 | 96% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2549. 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 01 November 2023.
All research outputs
#2,880
of 24,889,544 outputs
Outputs from Royal Society Open Science
#2
of 4,618 outputs
Outputs of similar age
#171
of 422,427 outputs
Outputs of similar age from Royal Society Open Science
#1
of 122 outputs
Altmetric has tracked 24,889,544 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 4,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.2. 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 422,427 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 122 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.