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Social engineering in cybersecurity: a domain ontology and knowledge graph application examples

Overview of attention for article published in Cybersecurity, August 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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25 Dimensions

Readers on

mendeley
123 Mendeley
Title
Social engineering in cybersecurity: a domain ontology and knowledge graph application examples
Published in
Cybersecurity, August 2021
DOI 10.1186/s42400-021-00094-6
Authors

Zuoguang Wang, Hongsong Zhu, Peipei Liu, Limin Sun

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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 7%
Student > Ph. D. Student 8 7%
Student > Master 7 6%
Unspecified 4 3%
Lecturer 4 3%
Other 16 13%
Unknown 75 61%
Readers by discipline Count As %
Computer Science 32 26%
Engineering 5 4%
Unspecified 4 3%
Business, Management and Accounting 4 3%
Arts and Humanities 2 2%
Other 2 2%
Unknown 74 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 September 2023.
All research outputs
#15,751,285
of 25,392,582 outputs
Outputs from Cybersecurity
#26
of 48 outputs
Outputs of similar age
#224,713
of 439,760 outputs
Outputs of similar age from Cybersecurity
#5
of 6 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 22 of them.
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 439,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.