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Risk Perception and PTSD Symptoms of Medical Staff Combating Against COVID-19: A PLS Structural Equation Model

Overview of attention for article published in Frontiers in Psychiatry, February 2021
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
2 news outlets
twitter
2 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Risk Perception and PTSD Symptoms of Medical Staff Combating Against COVID-19: A PLS Structural Equation Model
Published in
Frontiers in Psychiatry, February 2021
DOI 10.3389/fpsyt.2021.607612
Pubmed ID
Authors

Qianlan Yin, Aibin Chen, Xiangrui Song, Guanghui Deng, Wei Dong

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 7 13%
Student > Master 6 11%
Student > Ph. D. Student 5 9%
Student > Bachelor 4 8%
Lecturer 2 4%
Other 7 13%
Unknown 22 42%
Readers by discipline Count As %
Psychology 9 17%
Nursing and Health Professions 7 13%
Medicine and Dentistry 5 9%
Biochemistry, Genetics and Molecular Biology 2 4%
Business, Management and Accounting 1 2%
Other 5 9%
Unknown 24 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 December 2023.
All research outputs
#1,985,781
of 24,940,046 outputs
Outputs from Frontiers in Psychiatry
#1,176
of 12,141 outputs
Outputs of similar age
#60,691
of 562,633 outputs
Outputs of similar age from Frontiers in Psychiatry
#71
of 486 outputs
Altmetric has tracked 24,940,046 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,141 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 90% 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 562,633 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 89% of its contemporaries.
We're also able to compare this research output to 486 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.