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Acceptance of the COVID-19 vaccine booster dose and associated factors among the elderly in China based on the health belief model (HBM): A national cross-sectional study

Overview of attention for article published in Frontiers in Public Health, December 2022
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Mentioned by

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1 X user

Citations

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42 Dimensions

Readers on

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50 Mendeley
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Title
Acceptance of the COVID-19 vaccine booster dose and associated factors among the elderly in China based on the health belief model (HBM): A national cross-sectional study
Published in
Frontiers in Public Health, December 2022
DOI 10.3389/fpubh.2022.986916
Pubmed ID
Authors

Chenyuan Qin, Wenxin Yan, Min Du, Qiao Liu, Liyuan Tao, Min Liu, Jue Liu

X Demographics

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.
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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Lecturer 2 4%
Unspecified 2 4%
Other 7 14%
Unknown 29 58%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Nursing and Health Professions 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Psychology 2 4%
Unspecified 2 4%
Other 3 6%
Unknown 29 58%
Attention Score in Context

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 15 December 2022.
All research outputs
#21,610,985
of 24,122,534 outputs
Outputs from Frontiers in Public Health
#8,696
of 12,064 outputs
Outputs of similar age
#377,193
of 451,168 outputs
Outputs of similar age from Frontiers in Public Health
#848
of 1,369 outputs
Altmetric has tracked 24,122,534 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 12,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 451,168 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 1,369 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.