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Under-reporting of Adverse Events in the Biomedical Literature 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 4, 页码: 10-32
Authors:  Ronald N. Kostoff;  Ronald N. Kostoff (E-mail:ronald.kostoff@pubpolicy.gatech.edu)
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Under-reporting  Publication Bias  Reporting Bias  Manufactured Research  Research Misconduct  Research Malfeasance  Biomedical Literature  
Topic Detection Based on Weak Tie Analysis: A Case Study of LIS Research 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 4, 页码: 81-101
Authors:  Ling Wei;  Haiyun Xu;  Zhenmeng Wang;  Kun Dong;  Chao Wang;  Shu Fang;  Haiyun Xu (E-mail:xuhy@clas.ac.cn)
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Research Topics  Weak Tie Network  Weak Tie Theory  Weak Tie Nodes  Library And Information Science (Lis)  
Open Peer Review in Scientific Publishing: A Web Mining Study of PeerJ Authors and Reviewers 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 4, 页码: 60-80
Authors:  Peiling Wang;  Sukjin You;  Rath Manasa;  Dietmar Wolfram;  Dietmar Wolfram (E-mail:dwolfram@uwm.edu)
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Open Peer Review (Opr)  Adoption Of Opr  Open Access  Open Science  Open Research  Scientific Communication  
Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 4, 页码: 33-59
Authors:  Frederik T. Verleysen;  Arie Weeren;  Frederik T. Verleysen (E-mail:Frederik.Verleysen@uantwerpen.be)
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Bibliometrics  Social Sciences And Humanities  Publication Patterns  Dissemination  Cluster Analysis  
Contents Index to Volume 1 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 4, 页码: 102-104
Authors:  The JDIS Editors
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Data-driven Discovery: A New Era of Exploiting the Literature and Data 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 4, 页码: 1-9
Authors:  Ying Ding;  Kyle Stirling;  Ying Ding (E-mail:dingying@indiana.edu)
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The Power-weakness Ratios (PWR) as a Journal Indicator: Testing the “Tournaments” Metaphor in Citation Impact Studies 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 3, 页码: 6-26
Authors:  Loet Leydesdorff;  Wouter de Nooy;  Lutz Bornmann;  Loet Leydesdorff (E-mail: loet@leydesdorff.net).
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Citation  Impact  Ranking  Power  Matrix  Homogeneity  
Can Automatic Classification Help to Increase Accuracy in Data Collection? 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 3, 页码: 42-58
Authors:  Frederique Lang;  Diego Chavarro;  Yuxian Liu;  Yuxian Liu (E-mail: yxliu@tongji.edu.cn).
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Disambiguation  Machine Learning  Data Cleaning  Classification  Accuracy  Recall  Coverage  
Document Type Profiles in Nature, Science, and PNAS: Journal and Country Level 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 3, 页码: 27-41
Authors:  Jielan Ding;  Per Ahlgren;  Liying Yang;  Ting Yue;  Liying Yang (E-mail: yangly@mail.las.ac.cn).
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Country  Document Type Profile  nature  science  proceedings Of The National Academy Of Sciences Of The United States Of America (Pnas)  
Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases 期刊论文
Journal of Data and Information Science, 2016, 卷号: 1, 期号: 3, 页码: 59-78
Authors:  Raf Guns;  Raf Guns (E-mail: raf.guns@uantwerpen.be).
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Network Evolution  Link Prediction  Weighted Networks  Bipartite Networks  Two-mode Networks