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If these papers were about making incremental but imperfect progress forward on a hard issue, that would be one thing.
For instance, a recent literature review about evidence in software architecture, in which only two papers were about RAs, shows that there is limited knowledge about RAs (Qureshi et al. [2013]).
In graduate school, my first papers were about music (I wrote a history of acid house music and a textual analysis of the Velvet Underground's first album in my first couple of years) and I imagined that my dissertation would focus on house music.
The majority of papers were about hypertension and diabetes mellitus, while there were only 13 papers on the subject of physical activity.
The numbers of papers found in the two categories were similar in each year before 2001: as many papers were about how to do such trials as were reports of actual trials.
Nine papers were about a single sample of patients, recruited from both primary and secondary care within six months of diagnosis with Type 2 Diabetes, and concerning their perceptions of self-management in the context of changes to diabetes service delivery in Scotland.
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In 1980, the average R2 reported in papers was about 0.7.
In short, the white paper is about to launch a fundamentally flawed exercise, based upon a false premise.
This paper is about reading.
Ultimately this paper is about analysis choices within this data set.
But it does not make sense to say that this paper is about mechanisms.
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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