期刊论文被引用及其Web全文下载的文献计量分析

运用《中国学术期刊综合引证报告》及《中国学术期刊全文数据库Web下载统计报告》的文献计量数据分析了期刊论文网上下载频次的年代分布和被引用频次的年代分布，对比了它们的峰值（百分数）和峰值与统计年的年限差，得到“去年发表的论文被下载多，前年发表的论文被引用多，当年发表的论文下载频次与被引频次的比值高”这一规律性认识。研究了文献的网上下载频次分布和被引用频次的分布，对比了它们的集中系数。鉴于文献网上下载指标的排序与被引用指标的排序并不完全一致，建议将它们都作为独立指标在综合评价中予以适当考虑。     

中国大学网站的网络计量学研究

利用网络计量学方法，分析了国内主要大学网站的链接数、网络影响因子与这些大学在国内比较公认的大学排名中的得分之间的相关关系。同时验证了利用不同的搜索引擎的数据得到的结果的一致性，以及就某一搜索引擎而言，不同时间段收集到的两轮数据得到的结果的一致性。     

ISI Web of Knowledge跨库检索功能与操作技巧

ISI web of Knowledge是新一代的学术信息资源整合体系，是Web of science的最新升级平台。本文主要介绍了这一体系的跨库检索功能及其操作技巧。     

县(市)图书馆新馆建设中的几个问题

论文结合仪征图书馆新馆建设的实践，论述了县(市)图书馆在新馆建设中应该严把选址关，注重建筑特色与建筑风格，强调开放性和多功能性。     

守望精神建构 图书馆责任重大

本文简要分析了当今中国精神建构和出版阅读的现状后，探讨了图书馆为实现其守望国民精神家园的重要职责所实施的四项对策。参考文献4。     

Analysis of Academic Libraries' Facebook Posts: Text and Data Analytics

This research analyzed a dataset of academic libraries' posts on Facebook. It applied a text and data analytics approach to a dataset collected from the Facebook posts of academic libraries at the top 100 English-speaking universities, as listed by the 2014 Shanghai World University Rankings. The dataset is from a two-year posting history of 18,333 unique posts, 113,621 likes, and 3401 comments. Less than a quarter of the libraries had more than 2000 post-related likes, and only seven received more than 100 comments on their postings. Content analysis identified the most prevalent single word (unigrams), bigrams (two-word sequences), and trigrams (three-word sequences) in high and low engagement content. Semantic analysis identified the semantic categories for posts with high and low engagement. The findings can assist academic libraries in their social media strategies for engagement, marketing, and visibility.     

科研领域重点研究方向判别方法研究

[目的/意义] 判别重点研究方向对科研管理和科技政策的制定有着重要参考价值,已有的定量方法多是根据创新性、新颖性以及增长性等特征属性设计指标进行识别、推荐,本研究进一步利用研究方向间的关联关系,从网络拓扑结构和特征属性两个维度判别重点研究方向。[方法/过程] 在构建领域文献引用网络的基础上,利用大规模网络聚类算法识别研究方向,并构建研究方向关联网络,利用网络重要节点识别算法从网络拓扑结构的角度判别重点研究方向,同时结合新颖性、增长性和H指数三个特征属性指标,构建了重点研究方向遴选指标体系。[结果/结论] 对纳米科技领域进行实证分析,经专家判读,认为加权PageRank、Gefura以及增长性指标更加具有客观性、全面性和稳定性,通过综合运用三个指标遴选出208个纳米科技领域的重点研究方向。     

Trends of infodemiology studies: a scoping review

Introduction

The health care industry is rich in data and information. Web technologies, such as search engines and social media, have provided an opportunity for the management of user generated data in real time in the form of infodemiology studies. The aim of this study was to investigate infodemiology studies conducted during 2002–2016, and compare them based on developed, developing and in transition countries.

Methods

This scoping review was conducted in 2017 with the help of the PRISMA guidelines. PubMed, Scopus, Science Direct, Web of Knowledge, Google Scholar, Wiley and Springer databases were searched between the years 2002 and 2016. Finally, 56 articles were included in the review and analysed.

Results

The initial infodemiology studies pertain to the quality assessment of the hospital's websites. Most of the studies were on developed countries, based on flu, and published in the Journal of Medical Internet Research.

Conclusion

The infodemiology approach provides unmatched opportunities for the management of health data and information generated by the users. Using this potential will provide unique opportunities for the health information need assessment in real time by health librarians and thereby provide evidence based health information to the people.

     

Google Scholar and Web of Science: Examining gender differences in citation coverage across five scientific disciplines

Many studies demonstrate differences in the coverage of citing publications in Google Scholar (GS) and Web of Science (WoS). Here, we examine to what extent citation data from the two databases reflect the scholarly impact of women and men differently. Our conjecture is that WoS carries an indirect gender bias in its selection criteria for citation sources that GS avoids due to criteria that are more inclusive. Using a sample of 1250 U.S. researchers in Sociology, Political Science, Economics, Cardiology and Chemistry, we examine gender differences in the average citation coverage of the two databases. We also calculate database-specific h-indices for all authors in the sample. In repeated simulations of hiring scenarios, we use these indices to examine whether women's appointment rates increase if hiring decisions rely on data from GS in lieu of WoS. We find no systematic gender differences in the citation coverage of the two databases. Further, our results indicate marginal to non-existing effects of database selection on women's success-rates in the simulations. In line with the existing literature, we find the citation coverage in WoS to be largest in Cardiology and Chemistry and smallest in Political Science and Sociology. The concordance between author-based h-indices measured by GS and WoS is largest for Chemistry followed by Cardiology, Political Science, Sociology and Economics.