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Understanding the behaviour of hackers while performing attack tasks in a professional setting and in a public challenge

Overview of attention for article published in Empirical Software Engineering, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
42 Mendeley
Title
Understanding the behaviour of hackers while performing attack tasks in a professional setting and in a public challenge
Published in
Empirical Software Engineering, May 2018
DOI 10.1007/s10664-018-9625-6
Authors

Mariano Ceccato, Paolo Tonella, Cataldo Basile, Paolo Falcarin, Marco Torchiano, Bart Coppens, Bjorn De Sutter

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Student > Ph. D. Student 5 12%
Researcher 4 10%
Student > Bachelor 3 7%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 14 33%
Readers by discipline Count As %
Computer Science 18 43%
Engineering 2 5%
Psychology 2 5%
Unspecified 1 2%
Unknown 19 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 August 2019.
All research outputs
#13,032,452
of 23,075,872 outputs
Outputs from Empirical Software Engineering
#340
of 710 outputs
Outputs of similar age
#158,586
of 330,739 outputs
Outputs of similar age from Empirical Software Engineering
#9
of 16 outputs
Altmetric has tracked 23,075,872 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 710 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 50% 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 330,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.