The data shown below were collected from the profiles of 343 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 |
Spread of Misinformation About Face Masks and COVID-19 by Automated Software on Facebook
|
|---|---|
| Published in |
JAMA Internal Medicine, September 2021
|
| DOI | 10.1001/jamainternmed.2021.2498 |
| Pubmed ID | |
| Authors |
John W. Ayers, Brian Chu, Zechariah Zhu, Eric C. Leas, Davey M. Smith, Mark Dredze, David A. Broniatowski |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 89 | 26% |
| Canada | 15 | 4% |
| United Kingdom | 11 | 3% |
| Japan | 6 | 2% |
| Australia | 5 | 1% |
| Spain | 5 | 1% |
| Italy | 4 | 1% |
| Philippines | 4 | 1% |
| Côte d'Ivoire | 3 | <1% |
| Other | 30 | 9% |
| Unknown | 171 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 272 | 79% |
| Scientists | 42 | 12% |
| Practitioners (doctors, other healthcare professionals) | 20 | 6% |
| Science communicators (journalists, bloggers, editors) | 9 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Student > Ph. D. Student | 8 | 14% |
| Professor > Associate Professor | 3 | 5% |
| Other | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 10 | 17% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 15% |
| Computer Science | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 11 | 19% |
| Unknown | 28 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 883. 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 22 June 2024.
All research outputs
#21,616
of 26,771,611 outputs
Outputs from JAMA Internal Medicine
#215
of 11,939 outputs
Outputs of similar age
#786
of 440,280 outputs
Outputs of similar age from JAMA Internal Medicine
#8
of 115 outputs
Altmetric has tracked 26,771,611 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 11,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 85.9. This one has done particularly well, scoring higher than 98% 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 440,280 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 115 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 93% of its contemporaries.