The data shown below were collected from the profiles of 3 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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Using the 5C model to understand COVID-19 vaccine hesitancy across a National and South Carolina sample
|
---|---|
Published in |
Journal of Psychiatric Research, February 2023
|
DOI | 10.1016/j.jpsychires.2023.02.018 |
Pubmed ID | |
Authors |
Caitlin Rancher, Angela D Moreland, Daniel W Smith, Vickey Cornelison, Michael G Schmidt, John Boyle, James Dayton, Dean G Kilpatrick |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 8% |
Other | 2 | 6% |
Lecturer | 1 | 3% |
Student > Doctoral Student | 1 | 3% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 4 | 11% |
Unknown | 24 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 17% |
Nursing and Health Professions | 2 | 6% |
Computer Science | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Social Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 24 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 74. 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 12 April 2023.
All research outputs
#586,183
of 25,959,914 outputs
Outputs from Journal of Psychiatric Research
#123
of 3,912 outputs
Outputs of similar age
#13,162
of 427,249 outputs
Outputs of similar age from Journal of Psychiatric Research
#3
of 88 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,912 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done particularly well, scoring higher than 96% 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 427,249 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 96% of its contemporaries.
We're also able to compare this research output to 88 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 96% of its contemporaries.