Title |
Characteristics of Misinformation Spreading on Social Media During the COVID-19 Outbreak in China: A Descriptive Analysis
|
---|---|
Published in |
Risk Management and Healthcare Policy, May 2021
|
DOI | 10.2147/rmhp.s312327 |
Pubmed ID | |
Authors |
Kelin Chen, Yuni Luo, Anyang Hu, Ji Zhao, Liwei Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 89 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 9% |
Student > Master | 6 | 7% |
Student > Bachelor | 6 | 7% |
Student > Ph. D. Student | 5 | 6% |
Student > Doctoral Student | 3 | 3% |
Other | 8 | 9% |
Unknown | 53 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 10 | 11% |
Computer Science | 5 | 6% |
Psychology | 5 | 6% |
Medicine and Dentistry | 4 | 4% |
Arts and Humanities | 3 | 3% |
Other | 9 | 10% |
Unknown | 53 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 September 2021.
All research outputs
#23,182,177
of 25,836,587 outputs
Outputs from Risk Management and Healthcare Policy
#661
of 747 outputs
Outputs of similar age
#393,978
of 456,641 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#64
of 75 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 747 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 456,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.