More Than Just Black and White: A Case for Grey Literature References in Scientific Paper Information Retrieval Systems

• Main Authors: Sesagiri Raamkumar, Aravind, Foo, Schubert, Pang, Natalie
• Other Authors: Allen, Robert B.
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: grey literature; citation analysis; boosting techniques; scientific paper information retrieval; digital libraries
• Online Access: https://hdl.handle.net/10356/81219; http://hdl.handle.net/10220/39181
• Institution: Nanyang Technological University

In this paper, we start by analyzing the presence of grey literature (GL) references in the bibliographies of different article-types using an extract of 122,406 articles from the ACM Digital Library. GL articles accounted for about 16% of the overall references with highest presence in proceedings...