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A Longitudinal Analysis of the Effect of Alphabetization on Academic Careers

citations for the same reason ( Shevlin & Davies, 1997 ). They collaborate more often because they are more likely to remain as the first author in collaborated papers ( Kadel & Walter, 2015 , Ong, Chan, Torgler & Yang, 2018 ). Because authors who have early surname initials have better publication performance, it is natural to expect that they are more successful in their academic careers. Full professors who have early surname initials are more prevalent in top-ranked institutions ( Efthyvoulou, 2008 ). Moreover, faculty members who have early surname initials are

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Filtering and Classifying Relevant Short Text with a Few Seed Words

(loans) 22.8 22.9 管理学 (management) 管理(management), 人力资源(human resource), 管理学(management), 事业(career), 领导 (leader), 工作(job), 事业单位(public institution), 公司(company), 专业(major), 编制(formation), 组织(organization), 大学(university), 企业管理(business management), 理论(theory), 行政管理(administrative management), 公共管理(public management), 社会(society), 论文 (paper), 发展(development), 干部(cadre) 19.3 18.8 韩语 (korean) 翻译(translate), 韩文(korean), 翻译成(translate), 韩国(korea), 韩国语(korean), 学习(learn), 中文(Chinese), 发音(pronounce), 词语(word), 培训(train), 考试(exam), 韩语歌(korean song), 首尔

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The Second-order h-type Indicators for Identifying Top Units

Ye, F. Y. (2011). A unification of three models for the h-index. Journal of the American Society for Information Science and Technology , 62(1), 205–207. 10.1002/asi.21456 Ye F. Y. 2011 A unification of three models for the h-index Journal of the American Society for Information Science and Technology 62 1 205 207 Ye, F. Y.& Rousseau, R. (2008), The power law model and total career h-index sequences. Journal of Informetrics , 2, 288-297. Ye F. Y. Rousseau R. Rousseau The power law model and total career h-index sequences Journal of Informetrics 2 288 297 Ye

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Smart and Connected Health: What Can We Learn from Funded Projects?

, relatively easy to apply, and with high efficiency. We tried to generate 20, 15, 10, 9, and 8 clusters, and each time the results were examined by 2 of the authors. The results with 8 clusters seem to be the most meaningful as showed in Table 7 . Here is our interpretation of the 8 clusters starting from Cluster 0. Table 7 K-Means Clustering Results of the NSF SCH Abstracts Cluster ID Keywords in the cluster Cluster0 Doctoral, forum, participant, expert, career, consortium, travel, chase informatics, engage, scientific, participation, peer

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Document- and Keyword-based Author Co-citation Analysis

example, they both have a background of physics or network science and a strong interest in scientific productivity research. Dr. Barabási, for instance, did much research in how a scholar succeeds in his/her scientific career and how to measure their success ( Jeong, Neda, & Barabási, 2003 ). Some of his papers on the topic of the importance of scientific collaboration and social network ( Barabási et al., 2015 ) are cited by many informetric studies. Meanwhile, Dr. Hirsch created and improved the h-index ( Hirsch, 2005 , 2008) that considers authors’ productivity and

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Identifier Services: Modeling and Implementing Distributed Data Management in Cyberinfrastructure

identity attributes was the main takeaway for the HT-ISH project curator. Before the end of the project, we conducted a three-segment focus group with five early career biologists. In the first segment, we asked the researchers to draw their data workflows to verify that they would be able to customize a generic data model in IDS. Next, we demonstrated IDS identity functions corresponding to tasks 2, 3, 4, and 5. Task 6 was presented but not demonstrated. Finally, we conducted a semi-structured discussion to assess how well users grasped the utility of the data model

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