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Bin2vec: learning representations of binary executable programs for security tasks

Overview of attention for article published in Cybersecurity, July 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 (81st percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
26 Mendeley
Title
Bin2vec: learning representations of binary executable programs for security tasks
Published in
Cybersecurity, July 2021
DOI 10.1186/s42400-021-00088-4
Authors

Shushan Arakelyan, Sima Arasteh, Christophe Hauser, Erik Kline, Aram Galstyan

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Bachelor 4 15%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Professor 1 4%
Other 0 0%
Unknown 10 38%
Readers by discipline Count As %
Computer Science 10 38%
Business, Management and Accounting 2 8%
Engineering 1 4%
Unknown 13 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 22 October 2021.
All research outputs
#3,599,309
of 25,392,582 outputs
Outputs from Cybersecurity
#7
of 48 outputs
Outputs of similar age
#84,483
of 453,590 outputs
Outputs of similar age from Cybersecurity
#1
of 4 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 41 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 453,590 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 81% of its contemporaries.
We're also able to compare this research output to 4 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