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Software Updates Strategies: A Quantitative Evaluation Against Advanced Persistent Threats

Overview of attention for article published in IEEE Transactions on Software Engineering, May 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 6,554)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
3 news outlets
policy
1 policy source
twitter
202 X users
reddit
2 Redditors

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Software Updates Strategies: A Quantitative Evaluation Against Advanced Persistent Threats
Published in
IEEE Transactions on Software Engineering, May 2022
DOI 10.1109/tse.2022.3176674
Authors

Giorgio Di Tizio, Michele Armellini, Fabio Massacci

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 202 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Researcher 3 12%
Lecturer 2 8%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 1 4%
Other 4 15%
Unknown 14 54%
Readers by discipline Count As %
Computer Science 10 38%
Business, Management and Accounting 1 4%
Engineering 1 4%
Unknown 14 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 191. 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 05 April 2024.
All research outputs
#225,774
of 26,799,545 outputs
Outputs from IEEE Transactions on Software Engineering
#5
of 6,554 outputs
Outputs of similar age
#6,359
of 451,176 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#1
of 81 outputs
Altmetric has tracked 26,799,545 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 451,176 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.