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- Journal Impact Factor based on the date of electronic publication + (A study analyzed 61 neuroscience journals … A study analyzed 61 neuroscience journals from 2003 to 2011. The aim was to find out whether there was an increase in publication delay over one decade and whether this phenomenon can increase IFs. The study showed that while for most journals in 2003 the phenomenon of online-to-print lag did not exist, about 50% of the studied journals from 2011 had online-to-print lag greater than 3 months. The lag varied between journals ranging from 0 to 19 months.'"`UNIQ--ref-00000688-QINU`"' There was an increase of lags over one decade, which subsequently raised the journals IF. Moreover, the larger the online-to-print lag, the higher the increase of IF.'"`UNIQ--ref-00000689-QINU`"'</br></br>This is why some researchers suggested that the date of the online publication should be used to calculate the IF and not the date of the print publication.'"`UNIQ--ref-0000068A-QINU`"''"`UNIQ--ref-0000068B-QINU`"' In the fall of 2020 Clarivate Analytics announced that it would make this shift.'"`UNIQ--ref-0000068C-QINU`"' This change will help reduce ambiguity and contribute to more transparent calculation of citation metrics.'"`UNIQ--ref-0000068D-QINU`"' The 2021 release using 2020 data is planned to be the transition year and the full switch will begin in 2022 using 2021 publication data.'"`UNIQ--ref-0000068E-QINU`"'ication data.'"`UNIQ--ref-0000068E-QINU`"')