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Author(s) -
Rife Sean C.,
Rosati Domenic,
Nicholson Joshua M.
Publication year - 2021
Publication title -
learned publishing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.06
H-Index - 34
eISSN - 1741-4857
pISSN - 0953-1513
DOI - 10.1002/leap.1379
Subject(s) - headline , citation , context (archaeology) , computer science , data science , information retrieval , world wide web , history , business , advertising , archaeology
Key points While the importance of citation context has long been recognized, simple citation counts remain as a crude measure of importance. Providing citation context should support the publication of careful science instead of headline‐grabbing and salami‐sliced non‐replicable studies. Machine learning has enabled the extraction of citation context for the first time, and made the classification of citation types at scale possible.