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Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios

Overview of attention for article published in IEEE Transactions on Software Engineering, October 2025
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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2 X users
bluesky
1 Bluesky user

Readers on

mendeley
10 Mendeley
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Article details
Title
Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios
Published in
IEEE Transactions on Software Engineering, October 2025
DOI 10.1109/tse.2025.3624631
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 2 20%
Unspecified 1 10%
Unknown 7 70%
Readers by discipline
Readers by discipline Count As %
Computer Science 2 20%
Unspecified 1 10%
Unknown 7 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 October 2025.
All research outputs
#22,844,069
of 32,023,687 outputs
Outputs from IEEE Transactions on Software Engineering
#6,072
of 7,305 outputs
Outputs of similar age
#179,033
of 359,299 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#11
of 32 outputs
Altmetric has tracked 32,023,687 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 359,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 62% of its contemporaries.