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Methods We searched MEDLINE, Embase, and CINAHL databases from inception until August 2014.
Methods: We searched multiple databases to identify genetic association studies investigating the effect of rs1136201 on breast cancer risk.
Methods: We searched multiple databases (CENTRAL, MEDLINE, EMBASE) for RCTs comparing iron by any route with placebo/no iron.
Materials and methods We searched for automatic tube compensation in PubMed and Google scholar limiting to English language.
Methods: We searched PubMed, the Cochrane Collaboration Database, EMBASE, and CINAHL through January 2006 and bibliographies of retrieved articles and consulted with experts to identify relevant studies.
Methods We searched Medline, Embase, and the Cochrane central register of controlled trials without restrictions, and manually searched conference proceedings for the last 5 years.
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Method: We searched daily for patients who were assessed but not admitted to ICU during 12 consecutive months.
After applying algorithm 3.1.2 to the output of each of the four filter selection method, we searched for feature intercept and set the minimum threshold to 3. From Table 2, it is observed that, even though each filter uses different ranking techniques, some features are common across different filter methods.
Method: We searched Medline (January 1966 November 2011) to identify all relevant articles.
Method We searched six databases from 1980 to 2013 and conducted a multi-language Google search for quantitative studies addressing the research questions.
To verify that pre-mRNA, not mRNA, was indeed enriched by this method, we searched for intronic sequences in the pre-mRNA-seq reads.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com