AutoLit® User Guide
Examining Results in Synthesis
Administrative Tools
Support and FAQs
Best Nest Building Practices
SLR Basics: How to Perform Systematic Review
NMA Basics: How to Perform a Meta-Analysis
Best Practices for Writing a Publishable Manuscript
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When you are performing your literature review, it is often useful to be able to quickly grab references from other papers on your subject of interest. Bibliomining, or citation mining, refers to the act of identifying relevant studies by reviewing the citation list of a study with high relevance to your research question.
Upload a PDF with the study to be biblio-mined. Generally, you should biblio-mine from existing Systematic Reviews and Meta-Analyses. It may take a few minutes to run.
When finished, your references will still Require Review!
View the references pulled from the uploaded study.
For any reference that is incomplete or incorrectly recognized in the underlying PDF, select the “x” to delete. You can still add any of these references manually, but ensure that you have removed any incorrect citation information before selecting “Send to Screening.”
For records with a PMID or DOI, the bibliographic data will be automatically imported. Otherwise, you will likely need to edit the record's bibliographic data during the Screening process; we provide a Google Scholar link where possible to help you find the record, but the bibliographic data in AutoLit are based on what was reported in the underlying PDF.
When you have finished viewing and editing the references from a PDF, select “Send to Screening” from the main Biblio-mine page to queue all studies for Screening. This step is irreversible, so do not press Send to Screening until you have finalized the references you would like to import!
Q. What if the uploaded Systematic Review reports the included trials in a supplementary appendix or a table only? A. The biblio-mining tool depends on being able to recognize a consistent format for references in the uploaded article's bibliography. Materials found only in tables or supplementary resources will not be identified, and formats not supported by the biblio-mining tool may need to be manually removed before finalizing your list of studies to be queued.
