as a service to the research community. Dr. Junjie Qian contributed to the experiments of many large-scale algorithms described in this article. Publication Rates in 192 Research Fields of the Hard Sciences. Table 6 shows the top 10 journals in both lists, with the journals appearing in both lists highlighted in bold. pp.990-998. download the GitHub extension for Visual Studio, Update download script + disable /rebuild some indexes, the path to the extracted OAG v1 TXT files, the connection string to connect to SQL Server / Azure SQL DB, the number of threads to use (the default is 30). For various historical reasons, these practices are largely tolerated by the scientific communities even though the cost of not knowing how many tenure applications are denied and how many research proposals are rejected because of faulty yet opaque data hits very close to home. Similarly, the uptake of ORCIDs is also low, which warrants reflection after their heavy promotion for decades. Note that each patent is tagged in accordance with a patent classification scheme that organizes the potential utilities of an invention into a hierarchy. Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. This could create bias towards scientific disciplines which tend to publish and deposit their publications online more frequently and therefore make their publications more easily discoverable. In case of journals (n = 13,050), the ranks differ on average by 1,203 with standard deviation of 1,211. The two lists are shows in Table 7. However, because the graph is built using automatic methods, such errors are expected. We then counted total citations received by the university/journal in MAG (for journals, we limited the citations to the same time period as in the SJR data). However, a manual evaluation or a comparison with another overlapping dataset could provide additional insights. The environment of scholarly communications is far from artificial, and citation behaviors cannot be automatically synthesized, yet MAG has more than two centuries of citation behaviors that an RL algorithm can use to imaginarily travel back and forth in time to gain experience in predicting the future. In this way, the knowledge graph is part of the Linked Open Data cloud. Figure 2: Cumulative distribution function of absolute difference between publication years found in the three datasets. We haven't done the same comparison for the author entities due to potential disambiguation issues. Reschedule a meeting based on responses, notify others when a file is modified, or continue a process after it's been approved. Understandably, these organizational details and their evolution over time can easily escape the grasp of human experts outside of Microsoft or even just MSR, especially when the notion of data accuracy is often only meaningful and highly contemporaneous with the time of publication. The estimated accuracy is shown in Table 7. Figure 5: Comparison of university citations in MAG and on the Ranking Web of Universities website, Figure 6: Comparison of journal citations in MAG and on the SJR website. How many of the entities have all associated metadata fields populated and how reliable are these data (for example publication years and fields of study)? You need a client VM to run the custom bulk import tool. Terms of Use and Privacy and Cookies Statement. Microsoft Academic automatic document searches: Accuracy for journal articles and suitability for citation analysis, PageRank-Related Methods for Analyzing Citation Networks, A Review of Microsoft Academic Services for Science of Science Studies, The state-of-the-art of open peer review: Early adopters, Learning to Rank with selection bias in personal search, Large-scale author coreference via hierarchical entity representations, ANDMC: An algorithm for author name disambiguation based on molecular cross clustering, Name disambiguation in AMiner: Clustering, maintenance, and human in the loop, Contextual rule-based feature engineering for author-paper identification, Paying an MIT Press Journals Permission Invoice, Creative Commons Attribution 4.0 International License, https://creativecommons.org/licenses/by/4.0/legalcode, López-Cózar, Robinson-García, & Torres-Salinas, 2014, Mikolov, Sutskever, Chen, Corrado, & Dean, 2013, http://nturanking.lis.ntu.edu.tw/ranking/BySubject/ComputerSci, https://academic.microsoft.com/paper/2913755906, https://academic.microsoft.com/paper/2038101504, https://academic.microsoft.com/paper/2063918473, https://academic.microsoft.com/paper/2269742369, https://academic.microsoft.com/paper/2888592790, https://academic.microsoft.com/paper/2507134384, https://academic.microsoft.com/paper/1547705211, https://academic.microsoft.com/paper/2613826676, https://academic.microsoft.com/paper/2133494723, https://academic.microsoft.com/paper/1532325895, https://www.microsoft.com/en-us/research/project/academic/articles/goto-ranking-made-affordable-with-mag/, https://academic.microsoft.com/paper/1975258157, https://academic.microsoft.com/paper/2121395634, https://academic.microsoft.com/paper/2337399039, https://academic.microsoft.com/paper/2943934175, https://academic.microsoft.com/paper/2765327763, https://academic.microsoft.com/paper/2340526403, https://academic.microsoft.com/paper/2159205954, https://academic.microsoft.com/paper/2188509728, https://academic.microsoft.com/paper/2942498978, https://academic.microsoft.com/paper/2809279178, https://academic.microsoft.com/paper/2147658782, Microsoft Academic Graph: When experts are not enough, One Rogers Street

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