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ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions
Academic institutions need to maintain publication lists for thousands of faculty and other scholars. Automated tools are essential to minimize the need for direct feedback from the scholars themselves who are practically unable to commit necessary effort to keep the data accurate. In relying exclus...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | PLoS One |
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| Κύριοι συγγραφείς: | , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Public Library of Science
2021
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8016248/ https://ncbi.nlm.nih.gov/pubmed/33793563 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0244641 |
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