Can Google Scholar and Mendeley help to assess the scholarly impacts of dissertations?

Dissertations can be the single most important scholarly outputs of junior researchers. Whilst sets of journal articles are often evaluated with the help of citation counts from the Web of Science or Scopus, these do not index dissertations and so their impact is hard to assess. In response, this article introduces a new multistage method to extract Google Scholar citation counts for large collections of dissertations from repositories indexed by Google. The method was used to extract Google Scholar citation counts for 77,884 American doctoral dissertations from 2013 to 2017 via ProQuest, with a precision of over 95%. Some ProQuest dissertations that were dual indexed with other repositories could not be retrieved with ProQuest-specific searches but could be found with Google Scholar searches of the other repositories. The Google Scholar citation counts were then compared with Mendeley reader counts, a known source of scholarly-like impact data. A fifth of the dissertations had at least one citation recorded in Google Scholar and slightly fewer had at least one Mendeley reader. Based on numerical comparisons, the Mendeley reader counts seem to be more useful for impact assessment purposes for dissertations that are less than two years old, whilst Google Scholar citations are more useful for older dissertations, especially in social sciences, arts and humanities. Google Scholar citation counts may reflect a more scholarly type of impact than that of Mendeley reader counts because dissertations attract a substantial minority of their citations from other dissertations. In summary, the new method now makes it possible for research funders, institutions and others to systematically evaluate the impact of dissertations, although additional Google Scholar queries for other online repositories are needed to ensure comprehensive coverage.     

Evaluating research and researchers by the journal impact factor: Is it better than coin flipping?

The journal impact factor (JIF) is the average of the number of citations of the papers published in a journal, calculated according to a specific formula; it is extensively used for the evaluation of research and researchers. The method assumes that all papers in a journal have the same scientific merit, which is measured by the JIF of the publishing journal. This implies that the number of citations measures scientific merits but the JIF does not evaluate each individual paper by its own number of citations. Therefore, in the comparative evaluation of two papers, the use of the JIF implies a risk of failure, which occurs when a paper in the journal with the lower JIF is compared to another with fewer citations in the journal with the higher JIF. To quantify this risk of failure, this study calculates the failure probabilities, taking advantage of the lognormal distribution of citations. In two journals whose JIFs are ten-fold different, the failure probability is low. However, in most cases when two papers are compared, the JIFs of the journals are not so different. Then, the failure probability can be close to 0.5, which is equivalent to evaluating by coin flipping.     

大学图书馆成效评估及其指标体系构建探索

大学图书馆成效评估是对用户在接触图书馆所提供的资源、服务和活动之后所发生的改变进行评估。绩效评估关注图书馆投入与产出的效率,成效评估关注图书馆服务的影响与效果。大学图书馆成效评估的内容主要包括对学习、研究、教学的影响评估。该文结合国外大学图书馆成效评估的实践案例,对大学图书馆成效评估的定义、内容、意义以及评估指标体系等进行探索。成效评估是基于用户为中心的新的评估理论和方法,有利于争取社会各界对图书馆的支持和提高图书馆服务质量。     

建设项目方案环境影响的AHP排序

将运筹学中的层次分析法（AHP）应用于建设项目方案环境影响优选决策中,可以减少在建设项目方案优选决策过程中的盲目和随意性。本文分析了建设项目方案环境的影响因素,用AHP确定建设项目方案环境问题的层次结构及其评价准则权重,应用一个实际例子说明了此方法的应用。     

基于NCI的“985工程”高校学科的学术影响力评价

采用“标准影响力”（NCI）方法对“985工程”高校的自然科学、生命及医药科学、工程与技术科学三大学科领域进行评价,发现各学科的学术影响力总体水平不高。基于NCI的学科评价结果不仅能衡量学校之间的相对差距,还能衡量相应学科与世界一流学科的差距,同时具有诊断性和战略性的特点。     

国内外黑色旅游研究综述

黑色旅游作为近年学界研究的新兴领域,其实践已先于理论,正在灾区火热开展。文章通过对黑色旅游研究文章的梳理,发现国外关于黑色旅游研究主要集中在其概念及分类、旅游者的行为动机、旅游开发方式与开发黑色旅游的影响等四方面;而国内关于黑色旅游的研究则主要集中在黑色旅游开发、旅游者动机与利益相关者、黑色旅游资源分类、黑色旅游影响及其伦理道德问题等四方面,文章分别对国内外研究进行了主题总结。     

对NBA常规赛比赛胜负影响因素及Fisher判别分析

本文对2009-2010年NBA常规赛进行比赛胜负比较,探究影响比赛胜负的主要因素,分析主、客场存在的差异,从统计学的角度研究主场优势存在原因,并采用Fisher判别分析法建立判别分类函数,对比赛结果进行预测,为运动员、教练员了解对手情况和掌控本队获胜机率提供指导。     

Say Goodbye…Let's Roll: The Social Dynamics of Wireless Networks on September 11

This article describes the use of wireless telecommunication media within the different locations directly affected by the hijackings on September 11. Comparisons across these different contexts provides an empirical anchor to more general themes concerning the social dynamics of wireless in the unfolding events of this day. An indication is given of how the important social role of wireless phones in this crisis could redefine public views on wireless media and thereby shape policy and regulation in the years ahead.     

Effect of the geometric shapes of specimens on impact tensile tests

The geometric shapes of specimens are important in impact tensile tests because geometric shapes determine the stress states of the specimens, and precise geometric shapes can obtain proper material properties without non-material factors. The aim of this study was to investigate the 1D form of the stress by changing the length-to-diameter （L/D） ratios of specimens. The experiments were carried out on a split Hopkinson tensile bar （SHTB）-rotating disk indirect bar-bar tensile impact apparatus. The L/D ratios of the LY12CZ specimens used in the test ranged from 1 to 5. Results show that the specimens can be used to obtain exact parameters of materials under the proposed conditions when the L/D ratio is greater than 2. This is because the longer length will reduce or eliminate the effects of the interfaces.     

基于云银行模型下云服务的服务质量度量方法研究

随着云计算的广泛应用,云服务的QoS问题也正逐渐显现,业界对云服务质量的相关研究方兴未艾。笔者对此问题提出了一套完整的服务质量度量方法,根据度量的结果加入到服务等级协议（CBSLA）中,使CBSLA成为各方往来的依据。通过这种方式,可以将研究成果广泛应用于对云计算QoS控制策略的评价、选择、定价和优化上。