Multidisciplinary Databases Outperform Specialized and Comprehensive Databases for Agricultural Literature Coverage
Melissa Goertzen · 2019 · Evidence Based Library and Information Practice
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
A Review of: Ritchie, S. M., Young, L. M., & Sigman, J. (2018). A comparison of selected bibliographic database subject overlap for agricultural information. Issues in Science and Technology Librarianship, 89.…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Crossref · DOI 10.18438/eblip29561