Nothing wrong with the impact factor as long as it isn't a hindrance to free and timely flow of scientific research results, I should think.
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No means perfect, but attempt to measure the article. IF is a journal fudge based on cherry picked data you never see
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100% I accept but think it can be just as biased, eg sexist racist, high for reasons not scientific. And...
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I really wish this was discussed more. Mentioned same to
@Protohedgehog recently so maybe other think same? -
like I'm genuinely dying to see what ppl are thinking if they are anything regarding this.

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As
@HigginsDes said [paraphrased] at@ISMBinfo, "you can't distil a researcher's value to an integer". -
real or complex, then? /me ducks and runs
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Unsigned of course :)
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I dunno about that... the odd negative here and there maybe ;)
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