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Cyber risk prediction through social media big data analytics and statistical machine learning

Overview of attention for article published in Journal of Big Data, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
141 Mendeley
Title
Cyber risk prediction through social media big data analytics and statistical machine learning
Published in
Journal of Big Data, June 2019
DOI 10.1186/s40537-019-0216-1
Authors

Athor Subroto, Andri Apriyana

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 11%
Student > Master 13 9%
Student > Bachelor 11 8%
Student > Doctoral Student 11 8%
Lecturer 7 5%
Other 18 13%
Unknown 65 46%
Readers by discipline Count As %
Computer Science 20 14%
Business, Management and Accounting 18 13%
Engineering 15 11%
Economics, Econometrics and Finance 3 2%
Decision Sciences 3 2%
Other 15 11%
Unknown 67 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 October 2020.
All research outputs
#4,605,430
of 23,340,595 outputs
Outputs from Journal of Big Data
#82
of 353 outputs
Outputs of similar age
#92,496
of 354,236 outputs
Outputs of similar age from Journal of Big Data
#8
of 21 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 76% 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 354,236 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 73% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.