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Fig. 2 Distribution of support towards Cummings on the specific topics presented in the article percentages in pie of pie show proportion of overall comments that showed clear support for specific topics.
Fig. 3 Distribution of opposition towards Cummings on the specific topics presented in the article percentages in pie of pie show proportion of overall comments that showed clear opposition for specific topics.
*Percentages show proportion of patients in cohort form each country who would be candidates for a particular regimen.
*Row percentages show proportion of patients with each characteristic that would be candidates for a particular regimen.
Weighted by the population represented by each cluster/sentinel site, the maps the show proportion of the population affected – adding a spatial dimension to this evidence.
C. Histograms show proportion of different weight groups (Kg) in the entire population (gray columns) and in the sampled orange and green fruit (orange and green columns respectively).
Similar(54)
Pie charts show proportions of GIE positive (green) or negative (grey) for STEVOR staining.
For categorical variables, we show proportions.
Tables 1 and 2 show proportions of patients screened using NHPs and/or prescription drugs and those reporting AEs, respectively.
(d) As c, but showing proportion of susceptible samples called as susceptible false positives in red.
(d) As c, but showing proportion of susceptible samples correctly identified as susceptible false positives in red.
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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