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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science
|
|---|---|
| Published in |
BMC Public Health, January 2021
|
| DOI | 10.1186/s12889-020-10103-x |
| Pubmed ID | |
| Authors |
Jon Agley, Yunyu Xiao |
X Demographics
The data shown below were collected from the profiles of 71 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 | 12 | 17% |
| Canada | 8 | 11% |
| United Kingdom | 3 | 4% |
| Switzerland | 2 | 3% |
| Spain | 2 | 3% |
| Cameroon | 1 | 1% |
| France | 1 | 1% |
| Greece | 1 | 1% |
| Australia | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 39 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 77% |
| Scientists | 10 | 14% |
| Practitioners (doctors, other healthcare professionals) | 4 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 341 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 341 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 43 | 13% |
| Researcher | 32 | 9% |
| Student > Ph. D. Student | 24 | 7% |
| Student > Bachelor | 23 | 7% |
| Student > Doctoral Student | 21 | 6% |
| Other | 67 | 20% |
| Unknown | 131 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 44 | 13% |
| Medicine and Dentistry | 33 | 10% |
| Nursing and Health Professions | 24 | 7% |
| Psychology | 22 | 6% |
| Biochemistry, Genetics and Molecular Biology | 11 | 3% |
| Other | 71 | 21% |
| Unknown | 136 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 183. 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 14 June 2023.
All research outputs
#223,107
of 25,753,031 outputs
Outputs from BMC Public Health
#206
of 17,807 outputs
Outputs of similar age
#6,484
of 530,339 outputs
Outputs of similar age from BMC Public Health
#5
of 363 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 17,807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. 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 530,339 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 98% of its contemporaries.
We're also able to compare this research output to 363 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 98% of its contemporaries.