| Title |
COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
|
|---|---|
| Published in |
JMIR Infodemiology, March 2022
|
| DOI | 10.2196/32452 |
| Pubmed ID | |
| Authors |
Emma K Quinn, Shelby Fenton, Chelsea A Ford-Sahibzada, Andrew Harper, Alessandro R Marcon, Timothy Caulfield, Sajjad S Fazel, Cheryl E Peters |
X Demographics
The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 18 | 20% |
| United States | 12 | 14% |
| United Kingdom | 5 | 6% |
| Ireland | 3 | 3% |
| Australia | 3 | 3% |
| Comoros | 1 | 1% |
| Sweden | 1 | 1% |
| Spain | 1 | 1% |
| Austria | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 42 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 59 | 67% |
| Scientists | 16 | 18% |
| Practitioners (doctors, other healthcare professionals) | 7 | 8% |
| Science communicators (journalists, bloggers, editors) | 6 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 2 | 4% |
| Professor | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 25 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 13% |
| Nursing and Health Professions | 4 | 9% |
| Social Sciences | 4 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 26 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 90. 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 March 2024.
All research outputs
#479,527
of 25,734,859 outputs
Outputs from JMIR Infodemiology
#3
of 131 outputs
Outputs of similar age
#12,991
of 451,241 outputs
Outputs of similar age from JMIR Infodemiology
#1
of 19 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done particularly well, scoring higher than 97% 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 451,241 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 97% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.