So - plagiarism of the article - means that no one is questioning the data, the content, only the author(s). That's good news. It means that 16% of those articles are legit, even if incorrectly attributed.
Another 16.2% is due to duplication. Again - no concern with the content. So that's 32% of articles that has legitimate content and data.
Publication error - 5.5% is due to that. They retracted these because they found mistakes. No lying, no fraud, no shenanigans.
In all, almost half were retracted due to "concerns or issues" about the data itself, which is serious, but it also means that they were, in fact, retracted.
Lack of/fake peer review is equally serious, but significantly less frequent, at only 8.3%.
Now that everyone and their brother is jumping on the AI bandwagon, expect it to get worse, before it gets better.
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