Ok, I just finished dumping https://api.semanticscholar.org/corpus/ 's dataset (178M papers into a postgres db (~180GB of disk), now to see what one can do with it.
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Update: Through a rube-goldbergian fusion of cloudflare workers, AWS lambdas and plenty of caching (But still serverless!) you can now take SC ID's from here https://api.semanticscholar.org/corpus/ and ask my own api for the data, eg https://ricon.dev/api/4cd223df721b722b1c40689caa52932a41fcc223 …
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(This setup is 10x faster than the original API)
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(Yes I'm cheating because my json is smaller too hah)
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Update: https://ricon.dev/ is sort of operational. You can pick a paper (e.g. search in semanticscholar https://www.semanticscholar.org/paper/A-review-of-fatty-acid-profiles-and-antioxidant-in-Daley-Abbott/8c8ddef24b2234f553a63f12a6c614ccf2b3b6b0 … , take the id, paste it in my website and it gets you all relevant systematic revs or meta-analysis that cited that paper)
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Besides returning more relevant results, (sorting by citations, whatever) what else is missing ?
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