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Taking Risks With Cybersecurity: Using Knowledge and Personal Characteristics to Predict Self-Reported Cybersecurity Behaviors

Overview of attention for article published in Frontiers in Psychology, November 2020
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Mentioned by

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3 X users

Citations

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30 Dimensions

Readers on

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87 Mendeley
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Title
Taking Risks With Cybersecurity: Using Knowledge and Personal Characteristics to Predict Self-Reported Cybersecurity Behaviors
Published in
Frontiers in Psychology, November 2020
DOI 10.3389/fpsyg.2020.546546
Pubmed ID
Authors

Shelia M. Kennison, Eric Chan-Tin

X Demographics

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Student > Bachelor 9 10%
Researcher 6 7%
Student > Doctoral Student 5 6%
Student > Master 5 6%
Other 9 10%
Unknown 42 48%
Readers by discipline Count As %
Computer Science 15 17%
Psychology 10 11%
Business, Management and Accounting 5 6%
Social Sciences 3 3%
Medicine and Dentistry 3 3%
Other 8 9%
Unknown 43 49%
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 11 December 2020.
All research outputs
#18,111,817
of 23,269,984 outputs
Outputs from Frontiers in Psychology
#21,086
of 30,890 outputs
Outputs of similar age
#298,581
of 421,024 outputs
Outputs of similar age from Frontiers in Psychology
#689
of 897 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,890 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 26th percentile – i.e., 26% 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 421,024 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 897 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.