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ORCIDJournal of Data and Information Science, Volume 1
Volume 1, Number 1, September 2017
- Introduction of the Inaugural Issue of the Journal of Data and Information Science. 1-2
- Koenraad Debackere:
Let the Data Speak for Themselves: Opportunities and Caveats. 3-5 - Xiaojun Hu, Ronald Rousseau:
Gauging a Firm's Innovative Performance Using an Integrated Structural Index for Patents. 6-27 - Xianlei Dong, Jian Xu, Ying Ding, Chenwei Zhang
, Kunpeng Zhang, Min Song:
Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications. 28-49 - Jian Du, Yishan Wu:
A Bibliometric Framework for Identifying "Princes" Who Wake up the "Sleeping Beauty" in Challenge-type Scientific Discoveries. 50-68 - Qiuzi Zhang, Qikai Cheng, Yong Huang, Wei Lu:
A Bootstrapping-based Method to Automatically Identify Data-usage Statements in Publications. 69-85 - Xiaoqiu Le, Chenyu Mao, Yuanbiao He, Changlei Fu, Liyuan Xu:
Dpaper: An Authoring Tool for Extractable Digital Papers. 86-97 - Dan Wu, Man Zhu, Aihua Ran:
How Users Search the Mobile Web: A Model for Understanding the Impact of Motivation and Context on Search Behaviors. 98-122
Volume 1, Number 2, September 2017
- Gary Marchionini:
Information Science Roles in the Emerging Field of Data Science. 1-6 - Mike Thelwall:
Data Science Altmetrics. 7-12 - Fred Y. Ye, Mu-Hsuan Huang, Dar-Zen Chen:
Comparative Study of Trace Metrics between Bibliometrics and Patentometrics. 13-31 - Jiao Li, Si Zheng, Hongyu Kang, Zhen Hou, Qing Qian:
Identifying Scientific Project-generated Data Citation from Full-text Articles: An Investigation of TCGA Data Citation. 32-44 - Yuqing Mao, Zhiyong Lu:
Mining Related Articles for Automatic Journal Cataloging. 45-59 - Jianya Wang:
Critical Factors for Personal Cloud Storage Adoption in China. 60-74 - Chen Liang, Yang Gong:
Knowledge Representation in Patient Safety Reporting: An Ontological Approach. 75-91
Volume 1, Number 3, September 2017
- The 1st International Conference on Data-driven Knowledge Discovery: When Data Science Meets Information Science. June 19-22, 2016, Beijing ⋅ China. 1-5
- Loet Leydesdorff, Wouter de Nooy, Lutz Bornmann:
The Power-weakness Ratios (PWR) as a Journal Indicator: Testing the "Tournaments" Metaphor in Citation Impact Studies. 6-26 - Jie-lan Ding, Per Ahlgren, Liying Yang, Ting Yue:
Document Type Profiles in Nature, Science, and PNAS: Journal and Country Level. 27-41 - Frédérique Lang, Diego Chavarro, Yuxian Liu:
Can Automatic Classification Help to Increase Accuracy in Data Collection? 42-58 - Raf Guns:
Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases. 59-78 - Xiang Zhou, Pengyi Zhang, Jun Wang:
Identification and Analysis of Multi-tasking Product Information Search Sessions with Query Logs. 79-94
Volume 1, Number 4, September 2017
- Ying Ding, Kyle Stirling:
Data-driven Discovery: A New Era of Exploiting the Literature and Data. 1-9 - Ronald N. Kostoff:
Under-reporting of Adverse Events in the Biomedical Literature. 10-32 - Frederik T. Verleysen, Arie Weeren:
Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis. 33-59 - Peiling Wang, Sukjin You, Manasa Rath, Dietmar Wolfram:
Open Peer Review in Scientific Publishing: A Web Mining Study of PeerJ Authors and Reviewers. 60-80 - Ling Wei, Haiyun Xu, Zhenmeng Wang, Kun Dong, Chao Wang, Shu Fang:
Topic Detection Based on Weak Tie Analysis: A Case Study of LIS Research. 81-101
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