Lutay, Alexei 2017 Sci-Hub Downloads. Analysis for the Russian Federation. INTRODUCTION:<br><br>This dataset is based on 2017 Sci-Hub logs for the Russian Federation, enriched by CrossRef metadata and Unpaywall data. The findings are published separately.<br>============================================================================<br>DATA STRUCTURE:<br>Separator = "\t" (tab)<br><br>'data.frame': 4952269 obs. of 12 variables:<br> $ date : chr "2017-01-01 00:02:46" "2017-01-01 00:02:50" "2017-01-01 00:03:31" "2017-01-01 00:04:19" ...<br> $ doi : chr "10.2307/2848750" "10.1097/01.don.0000125317.21892.8f" "10.1115/imece2006-15516" "10.1080/14038190701256402" ...<br> $ city : chr "Tobolsk" "Kovrov" "Moskva" "Yekaterinburg" ...<br> $ lat : num 58.3 56.4 55.8 56.8 55.8 ...<br> $ long : num 68.2 41.3 37.6 60.6 37.6 ...<br> $ type : chr "journal-article" "journal-article" "proceedings-article" "journal-article" ...<br> $ issn : chr "0038-7134,2040-8072" "0099-2399" NA "1403-8196" ...<br> $ type2 : chr "journal" "journal" "proceedings" "journal" ...<br> $ publisher: chr "JSTOR" "Ovid Technologies (Wolters Kluwer Health)" "ASME International" "Informa UK Limited" ...<br> $ oa : chr "f" "f" "t" "f" ...<br> $ year : chr "1930" "2004" "2006" "2007" ...<br> $ source : chr "Speculum" "Journal of Endodontics" "Dynamic Systems and Control, Parts A and B" "Advances in Physiotherapy" ...<br><br>## lat and long are rounded <br>## type2 is a high level categorization for $type <br>## oa: t=Open Access, f=not Open Access (based on Unpaywall data)<br>============================================================================<br>SOURCES:<br>- Sci-Hub 2017 logs:<br> http://sci-hub.tw/downloads/2017.statistics.tab<br> http://sci-hub.tw/downloads/2017.statistics.1016.j.tab <br>- CrossRef: <br> http://www.crossref.org (Jan 2018)<br>- Unpaywall: <br> http://unpaywall.org (Feb 2018)<br>The data was processed between February and May 2018.<br><div>============================================</div><div>RIGHTS: CC-BY ============================================================================ ACKNOWLEDGMENTS: The author is grateful to <br></div><div><br></div><div>- Jason Priem and Heather Piwowar for their support and cooperation <br></div><div><br></div><div>- Serhii Nazarovets (http://figshare.com/authors/Serhii_Nazarovets/98056) for preparing the first version of the datasets for Ukraine, Belarus and Russian Federation <br></div><div><br></div><div>- Alexei Skalaban (http://scholar.google.ru/citations?user=HvtInMAAAAAJ&hl=en) with the co-authors for his pioneering work <br></div><div><br></div><div>- Dmitry Khramov (http://dkhramov.dp.ua/) for his life-changing R book <br></div><div><br></div><div>- #rstats community for what they do. <br></div><div>============================================================================ CONTACTS: Alexei Lutay (alexei.lutay@gmail.com) No responsibility for the possible mistakes or inaccuracies in the dataset, as well as for the results its use may lead to. </div><br> Bibliometric Analysis Research;Academic Journals;subscription;Piracy;Sci-Hub;Russian Federation;Information Retrieval and Web Search;Library and Information Studies;Library and Information Studies not elsewhere classified;Organisation of Information and Knowledge Resources;Research, Science and Technology Policy 2018-07-12
    https://figshare.com/articles/dataset/2017_Sci-Hub_Downloads_Analysis_for_the_Russian_Federation_/6714542
10.6084/m9.figshare.6714542.v1