{"id":383303,"date":"2024-04-23T06:38:00","date_gmt":"2024-04-23T12:38:00","guid":{"rendered":"https:\/\/quantixed.org\/?p=3269"},"modified":"2024-04-23T06:38:00","modified_gmt":"2024-04-23T12:38:00","slug":"prehistoric-when-do-authors-preprint-their-papers","status":"publish","type":"post","link":"https:\/\/www.r-bloggers.com\/2024\/04\/prehistoric-when-do-authors-preprint-their-papers\/","title":{"rendered":"Prehistoric: when do authors preprint their papers?"},"content":{"rendered":"\r\n\r\n
\r\n[This article was first published on Rstats \u2013 quantixed<\/a><\/strong>, and kindly contributed to R-bloggers<\/a>]. (You can report issue about the content on this page here<\/a>)\r\n
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Previously, I took advantage of a dataset that linked preprints to their published counterparts to look at the fraction of papers in a journal that are preprinted<\/a>. This linkage can be used to answer other interesting questions. Such as: when do authors preprint their papers relative to submission?<\/strong> And does this differ by journal?<\/p>\n\n\n\n

There\u2019s a bit of preamble. If you just want to know the answer, click here<\/a>. If you want to see the code, click here<\/a>.<\/p>\n\n\n\n

For each paper, we can extract from PubMed the \u201creceived\u201d date and the \u201caccepted\u201d date. Because we have linked published papers to preprints, we also know the date when the preprint of the paper was first posted. Subtracting this date from the received date, we get something we\u2019ll call \u201cpretime\u201d.<\/p>\n\n\n\n

Now let\u2019s plot the Pretime versus the Received to Accepted time.<\/p>\n\n\n\n

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In the plots above, we see ~3 years of a paper\u2019s journey to acceptance. Let\u2019s zoom in a bit to look at the first year. <\/p>\n\n\n\n

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What does this mean? To help interpret the plot, here\u2019s a key:<\/p>\n\n\n\n

\"\"\n\t\t\t\n\t\t\t\t\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n

There are four categories; manuscripts are posted to bioRxiv:<\/p>\n\n\n\n