↓ Skip to main content

The Effects of Governmental and Individual Predictors on COVID‐19 Protective Behaviors in China: A Path Analysis Model

Overview of attention for article published in Public Administration Review, June 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
6 X users

Readers on

mendeley
198 Mendeley
Article details
Title
The Effects of Governmental and Individual Predictors on COVID‐19 Protective Behaviors in China: A Path Analysis Model
Published in
Public Administration Review, June 2020
DOI 10.1111/puar.13236
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history

Loading chart data

Monthly Attention Score data from August 2022 to July 2025. Daily data from 25 July 2025.

An error occurred while generating this chart. Please try again later.

No score history available for this output yet. Please try again later.

Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 27 14%
Student > Ph. D. Student 26 13%
Student > Bachelor 19 10%
Student > Doctoral Student 12 6%
Researcher 11 6%
Other 32 16%
Unknown 71 36%
Readers by discipline
Readers by discipline Count As %
Social Sciences 34 17%
Business, Management and Accounting 24 12%
Psychology 19 10%
Medicine and Dentistry 14 7%
Arts and Humanities 7 4%
Other 30 15%
Unknown 70 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 11 July 2023.
All research outputs
#2,435,838
of 28,812,439 outputs
Outputs from Public Administration Review
#288
of 2,352 outputs
Outputs of similar age
#58,967
of 439,702 outputs
Outputs of similar age from Public Administration Review
#20
of 42 outputs
Altmetric has tracked 28,812,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,352 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 87% 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 439,702 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 42 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 52% of its contemporaries.