Preprint studies have been critical for fast-moving studies and public accessibility during the pandemic—but not without criticism.
, a group of scientists manually examined all 184 papers published both as preprints and with peer-review from December 2020 through April 2020.
For the large-scale computational analysis, David Nicholson, a PhD candidate at the University of Pennsylvania’s School of Medicine, started with a broad question: “How do people use preprints?” But Nicholson’s team soon realized that the tool he’d developed could also be used to measure how peer-review affects scientific writing. “Peer-review is time consuming and long, but does it also equate to changes that we might see in papers?” he says.
“What David sees is that the things that changed are typesetting marks, like the plus or minus symbol, the em-dash, as well as words like ‘additional,’ ‘supplementary,’ and ‘file,’” says Casey Greene, a computational biologist at the University of Colorado School of Medicine and an author on the paper. “That suggests people probably aren’t dramatically changing the text as they’re publishing it, they’re adding additional support to key claims, and their stuff is getting typeset.
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