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Using more terms increases the risk of finding no articles at all.
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Or sometimes, alas, without reading any articles at all.
No one knows how much time someone reads an article, or whether they opened an article at all.
(In fairness to Wikipedia, that entry has since been corrected and improved; moreover, the paid-access Encyclopaedia Britannica site has no specific article at all). Only on the seventh screen did I find the World History Network site, financed by the National Endowment for the Humanities, and it is not yet a good portal for beginners.
Do cops play GTA V? It has no relevance to this article at all but it's an interesting one to think about.
No articles were excluded at this stage; all articles meeting quality and relevancy criteria were all retained for analysis.
Avoid summarizing the article at all costs.
Thus, no articles were excluded at this step, because all met quality criteria good or better.
The most striking changes were a significant fall in the publication rates for case series (OR 0.47, 0.26 – 0.85) and audit articles (with no publications at all from 2005), coupled with a significant increase in publication rates for basic/fundamental science between the 2 years.
Clearly, this idea solves the cost issue for readers who can get to the article for no fee at all.
But the notion of forward-looking career planning and intentional information gathering is foreign to many postdocs, who, as one audience member put it, will spend weeks designing an experiment and days tracking down a particular article, but no time at all mapping out a strategy for their own futures.
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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