For recommending new citations (at the title and abstract level): answers to your questions
(1) You just need 10 citations screened in the citation screening area.
(2) Recommended articles will show up in unscreened citations - and make sure you have them sorted by relevance
(3) Depending on how complex your citations are and how many citations you have - it should be relatively instantaneous but no longer than a minute or two.
Thank you for your reply. I have 16 papers included in my citation screening section but have yet to receive any auto-recommended papers from Colandr. Is it possible my research is just too specific? Or maybe there is a step I am missing?
I think you might be interpreting colandr as a citation recommendation platform - we do not link to any citation databases - therefore - the machine learning is using information from what you include and exclude to suggest citations that are more likely to relevant from a citation file that you have uploaded.
for example, if you upload the results of a search that has 1000 citations - then you screen 10 of those citations (tagging as included or excluded) - colandr will resort your list of unscreened citations so that the most relevant based on what you just screened show up first.
Oh I see. Okay that makes sense. Sorry about the confusion! Thank you so much!
On Wed, Nov 18, 2020 at 5:48 PM colandrteam [via Colandr Community Forum] <[hidden email]> wrote:
Hi
I think you might be interpreting colandr as a citation recommendation platform - we do not link to any citation databases - therefore - the machine learning is using information from what you include and exclude to suggest citations that are more likely to relevant from a citation file that you have uploaded.
for example, if you upload the results of a search that has 1000 citations - then you screen 10 of those citations (tagging as included or excluded) - colandr will resort your list of unscreened citations so that the most relevant based on what you just screened show up first.
hope that makes sense!
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