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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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Mentioned by

twitter
1 tweeter

Readers on

mendeley
22 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Other 2 9%
Professor 1 5%
Student > Bachelor 1 5%
Student > Ph. D. Student 1 5%
Other 2 9%
Unknown 11 50%
Readers by discipline Count As %
Computer Science 10 45%
Social Sciences 1 5%
Engineering 1 5%
Unknown 10 45%

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 03 June 2021.
All research outputs
#16,624,788
of 18,792,779 outputs
Outputs from Cybersecurity
#30
of 30 outputs
Outputs of similar age
#268,410
of 339,524 outputs
Outputs of similar age from Cybersecurity
#1
of 1 outputs
Altmetric has tracked 18,792,779 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 0 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 339,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them