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A very interesting paper (pdf) by Seth Stephens-Davidowitz looked at Google search terms and found that Obama did worse in southern areas where racist terms were searched more frequently.
Terms were searched both as keywords and Subject Heading terms.
In PubMed, the terms were searched as both text words and Medical Subject Heading (MeSH) terms.
The following terms were searched in PubMed: "metachromatic leukodystrophy, juvenile" or "MLD, juvenile," yielding 12 references.
In WoS, the terms were searched by topic (searching the fields Title, Abstract, Author Keywords and Keywords Plus® per record) in all databases, and in SD and GS, the terms were searched in all fields.
For the STD subsystem, the INV terms were searched from the word lattices obtained in the ASR component using the Kaldi term detector [52 54].
Similar(14)
He said he later learned that Google had "paid links" where Internet sites pay it a fee to appear when certain terms are searched.
Google lets advertisers buy keywords, and then displays its famous small text ads when those terms are searched for.
To define potential relevance, a combination of gender- and disease-related terms is searched in combination.
Terms are searched as "MESH Terms" and all fields in PubMed, as topic field in Web of Knowledge and as abstract, title and keyword fields in SCOPUS.
Currently, if this MeSH term were searched as a textword, it would not retrieve a single citation.
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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