Have you published a disruptive paper? New machine-learning tool helps you check
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Scientists in the US have unveiled a new machine-learning tool that, they claim, can identify disruptive scientific breakthroughs. They say their method, which assesses how much a paper reshapes its field, is better than other techniques at spotting such disruptions even if they are simultaneously discovered by independent research groups (Sci. Adv. 12 eadx3420).
The work examined 55 million papers listed by Web of Science and the American Physical Society (APS) published between 1893 and 2019.
The work examined 55 million papers listed by Web of Science and the American Physical Society (APS) published between 1893 and 2019.
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