{"title":"研究科研的源代码","authors":"Graham Cormode, S. Muthukrishnan, Jinyun Yan","doi":"10.1145/2481244.2481254","DOIUrl":null,"url":null,"abstract":"Just as inspecting the source code of programs tells us a lot about the process of programming, inspecting the \"source code\" of scientific papers informs on the process of scientific writing. We report on our study of the source of tens of thousands of papers from Computer Science and Mathematics.","PeriodicalId":90050,"journal":{"name":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","volume":"1 1","pages":"59-62"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Studying the source code of scientific research\",\"authors\":\"Graham Cormode, S. Muthukrishnan, Jinyun Yan\",\"doi\":\"10.1145/2481244.2481254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Just as inspecting the source code of programs tells us a lot about the process of programming, inspecting the \\\"source code\\\" of scientific papers informs on the process of scientific writing. We report on our study of the source of tens of thousands of papers from Computer Science and Mathematics.\",\"PeriodicalId\":90050,\"journal\":{\"name\":\"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining\",\"volume\":\"1 1\",\"pages\":\"59-62\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2481244.2481254\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2481244.2481254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Just as inspecting the source code of programs tells us a lot about the process of programming, inspecting the "source code" of scientific papers informs on the process of scientific writing. We report on our study of the source of tens of thousands of papers from Computer Science and Mathematics.