↓ Skip to main content

The protection motivation theory for predict intention of COVID-19 vaccination in Iran: a structural equation modeling approach

Overview of attention for article published in BMC Public Health, June 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
117 Mendeley
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.
Title
The protection motivation theory for predict intention of COVID-19 vaccination in Iran: a structural equation modeling approach
Published in
BMC Public Health, June 2021
DOI 10.1186/s12889-021-11134-8
Pubmed ID
Authors

Alireza Ansari-Moghaddam, Maryam Seraji, Zahra Sharafi, Mahdi Mohammadi, Hassan Okati-Aliabad

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 12%
Student > Ph. D. Student 11 9%
Student > Bachelor 11 9%
Lecturer 7 6%
Researcher 6 5%
Other 16 14%
Unknown 52 44%
Readers by discipline Count As %
Medicine and Dentistry 11 9%
Business, Management and Accounting 9 8%
Nursing and Health Professions 9 8%
Arts and Humanities 7 6%
Psychology 6 5%
Other 19 16%
Unknown 56 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 June 2021.
All research outputs
#4,733,740
of 23,308,124 outputs
Outputs from BMC Public Health
#5,211
of 15,196 outputs
Outputs of similar age
#112,181
of 446,754 outputs
Outputs of similar age from BMC Public Health
#166
of 430 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 65% 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 446,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 430 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.