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Exploring the measurement features of usage data for academic literature

Journal of Library Science in China 2017年 132-151页

作者： ZHAO Xing Department of Information Management, Faculty of Economics and Management, East China Normal University Institute for Academic Evaluation and Development, East China Normal University Department of Information Management Faculty of Economics and Management East China Normal University Institute for Academic Evaluation and Development East China Normal University

The emergence of new data has always been a major force driving the advance of informetrics. The magnitude of data usage for academic literature, given by the Web of Science(Wo S), can be expected to provide a supplementary perspective for citation analysis in three theoretical aspects, which are influence dimension, discipline difference and behavioral motive. Based on 166,767 articles in physics, computer science, economics, and Library and Information Science included by SCI and SSCI in 2013 as research samples, this paper conducts an exploratory investigation into the measurement features of the usage data. According to the results, compared with citation data, usage is more discriminative and sensitive. In terms of distribution, usage presents an approximate and positively skewed distribution at high-frequency. An approximate power-law distribution is observed in the cumulative integral. The evaluation result of usage is independent to a certain degree and poses no essential opposition to the result of citation. Although the usage of the Wo S platform still has the limitations of generality, falsifiability and isolation, usage may be accepted as one of the possible options that supplement citation data and provide a richer field of vision for influence evaluation. There are 4 figures, 6 tables and 23 references in this paper.

关键词： Bibliometrics usage data Academic evaluation Citation analysis Information behavior

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Roundtable： Research Opportunities and Challenges for Large-Scale Software Systems

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Journal of Computer Science & Technology 2016年第5期31卷 851-860页

作者： Xusheng Xiao Jian-Guang Lou Shan Lu David C. Shepherd Xin Peng Qian-Xiang Wang NEC Laboratories America Princeton NJ 08540 U.S.A. Microsoft Research Asia Beijing 100080 China Department of Computer Science University of Chicago Chicago IL 60637 U.S.A. ABB Corporate Research Raleigh NC 27606 U.S.A. School of Computer Science Fudan University Shanghai 201203 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

For this special section on software systems, six research leaders in software systems, as guest editors tor this special section, discuss important issues that will shape this field＇s future research directions. The essays included in this roundtable article cover research opportunities and challenges for large-scale software systems such as querying organization- wide software behaviors （Xusheng Xiao）, logging and log analysis （Jian-Ouang Lou）, engineering reliable cloud distributed systems （Shan Lu）, usage data （David C. Shepherd）, clone detection and management （Xin Peng）, and code search and beyond （Qian-Xiang Wang）. - Tao Xie, Leading Editor of Software Systems.

关键词： organization-wide software behavior log analysis reliable cloud distributed system usage data clone detection and management code search

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Exploring the user platform preference and user interest preference of Chinese scholarly articles:A comparison based on usage metrics

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Journal of Library Science in China 2019年 98-116页

作者： CHEN Bikun ZHOU Huixian ZHONG Zhouyan WANG Yuefen Department of Information Management School of Economics&ManagementNanjing University of Science&TechnologyNanjingJiangsu 210094China

In order to comparatively investigate usage patterns of journal official sites and pay-for-access platform and then to support decision-making,this study selected academic papers,published during 2014-2015,of 61 Chinese open access journals indexed by CSSCI and CSCD in eight disciplines,"Library,Information and Archival Science","Management Science","Economics","Pedagogy","Computer Science","Earth Science","Math"and"Biology".Chinese usage patterns in user platform preferences and user interest preferences were explored by analyzing usage data from journal official sites and pay-for-access ***,comparisons of user platform preferences were implemented by descriptive statistics and correlation analysis and comparisons of user interest preferences were explored by Jaccard similarity coefficient and co-word *** proved that there were differences in user platform preferences and user interest preferences between journal official sites and pay-for-access ***,factors that affect usage patterns were very *** to probe into the mechanism of contributory factors and then verify them was still an important problem to be solved in further study.

关键词： Academic literature usage data usage metrics Academic journals Academic communication usage pattern

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