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In Fig. 5, we use word clouds to analyse the dataset osm-tags-word-frequency-wiki.json with the aim of getting a first overview of which linguistic concepts are referred to in the descriptions of the concepts of OSM tags in the OSM wiki.
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To get a first overview, the following databases were used: Medline, PubMed, Embase, AMED and CAMbase.
To get a first overview of the measured compound abundances among chromatograms of the experiment, the Heatmap visualization is a helpful choice (cmp. Fig. 4a).
To get a first overview, the following electronical databases were used to find articles: MEDLINE, EMBASE, The Cochrane database, DIMDI and CAMbase.
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With that data on hand, the first thing was to get a general overview.
Some curators skim through a whole article first in order to get a good overview of the work and then re-read it more thoroughly to extract the detail.
The whole genome was analysed for getting an overview of the pigeonpea genome.
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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