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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, March 2023
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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 (#3 of 6,052)
  • 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
2 news outlets
policy
1 policy source
twitter
212 tweeters
reddit
2 Redditors

Readers on

mendeley
14 Mendeley
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Title
Software Updates Strategies: A Quantitative Evaluation Against Advanced Persistent Threats
Published in
IEEE Transactions on Software Engineering, March 2023
DOI 10.1109/tse.2022.3176674
Authors

Giorgio Di Tizio, Michele Armellini, Fabio Massacci

Twitter Demographics

The data shown below were collected from the profiles of 212 tweeters 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Postgraduate 2 14%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Student > Bachelor 1 7%
Other 3 21%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 9 64%
Unspecified 1 7%
Engineering 1 7%
Unknown 3 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 194. 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 24 August 2022.
All research outputs
#185,044
of 23,937,668 outputs
Outputs from IEEE Transactions on Software Engineering
#3
of 6,052 outputs
Outputs of similar age
#4,714
of 421,911 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#2
of 93 outputs
Altmetric has tracked 23,937,668 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 6,052 research outputs from this source. They receive a mean Attention Score of 4.6. 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 421,911 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 93 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.