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It parses information from these sources searching for relevant keywords, and then, using crowdsourcing and automated processes, geopositions those relating to the disease of interest.
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The sources searched were chosen based on their coverage of the topic.
The variety of sources searched are very good, but not much value added on top of that.
The electronic sources searched were: Compendex, Scopus, IEEE, and Science Direct (limited to the Journal of Systems and Software, the Journal of System Architecture, and the Information and Software Technology).
None of the secondary sources searched returned any relevant article.
The sources searched are listed in Supplementary Table 1.
Data sources searched included MEDLINE, EMBASE and reference lists.
Five hundred and thirty five titles were retrieved from electronic database searching and 11 from the other sources searched.
The list of sources searched, 2. The key words used to search these sources (where applicable), and 3.
For data generation a structured questionnaire was developed and secondary data sources searched.
All sources searched were used to identify both quantitative and qualitative studies.
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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