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If they collectively reject sensationalism and clearly condemn data misrepresentation, we may expect rapid improvement.
Here we show that data misrepresentation reinforces this publication bias in both scientific and media articles.
Data misrepresentation in the conclusions and summaries of neuroscience articles might contribute to this gap.
Whilst preparing our review on ADHD we noticed several types and cases of data misrepresentation.
In other words our study does not provide a reliable quantitative estimate of this particular type of data misrepresentation.
However, there is no reason to think that data misrepresentation occurs only, or is worst, in this particular field.
Similar(45)
Because Dr. Kloc is a chemist, not a physicist, the panel decided, "It would be unreasonable to expect him to notice data misrepresentations that were so long missed by even experts in the field".
When confronted with these and other data problems, the individual "confessed to a stunning series of data misrepresentations and outright fabrications, extending over a period of at least two years," Collins writes.
Data misrepresentations in the summaries and conclusions seem to spread in media articles.
We discuss the social consequences and the causes of data misrepresentations and suggest a few corrective actions.
Although most journal guidelines explicitly condemn them, data misrepresentations, citation distortions and publication biases are frequent in the neuroscience literature.
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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