Characterizing highly cited method and non-method papers using citation contexts: The role of uncertainty

Volume: 12, Issue: 2, Pages: 461 - 480
Published: May 1, 2018
Abstract
The top 1000 biomedical papers by number of citations are classified by method, type of method and non-methods by examination of citation contexts. Supervised machine learning is applied to the context data for a training sample of papers which is then used to classify the full list, revealing that words indicating utility are most important for the classification of methods. Further word analysis is carried out using corpus linguistics to...
Paper Details
Title
Characterizing highly cited method and non-method papers using citation contexts: The role of uncertainty
Published Date
May 1, 2018
Volume
12
Issue
2
Pages
461 - 480
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