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1.
《Journal of Informetrics》2007,1(3):204-213
Hirsch [Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572] has proposed the h index as a single-number criterion to evaluate the scientific output of a researcher. We investigated the convergent validity of decisions for awarding long-term fellowships to post-doctoral researchers as practiced by the Boehringer Ingelheim Fonds (B.I.F.) by using the h index. Our study examined 414 B.I.F. applicants (64 approved and 350 rejected) with a total of 1586 papers. The results of our study show that the applicants’ h indices correlate substantially with standard bibliometric indicators. Even though the h indices of approved B.I.F. applicants on average (arithmetic mean and median) are higher than those of rejected applicants (and with this, fundamentally confirm the validity of the funding decisions), the distributions of the h indices show in part overlaps that we categorized as type I error (falsely drawn approval) or type II error (falsely drawn rejection). Approximately, one-third of the decisions to award a fellowship to an applicant show a type I error, and about one-third of the decisions not to award a fellowship to an applicant show a type II error. Our analyses of possible reasons for these errors show that the applicant's field of study but not personal ties between the B.I.F. applicant and the B.I.F. can increase or decrease the risks for type I and type II errors. 相似文献
2.
《Journal of Informetrics》2022,16(3):101310
As science is becoming more interdisciplinary and potentially more data driven over time, it is important to investigate the changing specialty structures and the emerging intellectual patterns of research fields and domains. By employing a clustering-based network approach, we map the contours of a novel interdisciplinary domain – research using social media data – and analyze how the specialty structures and intellectual contributions are organized and evolve. We construct and validate a large-scale (N = 12,732) dataset of research papers using social media data from the Web of Science (WoS) database, complementing it with citation relationships from the Microsoft Academic Graph (MAG) database. We conduct cluster analyses in three types of citation-based empirical networks and compare the observed features with those generated by null network models. Overall, we find three core thematic research subfields – interdisciplinary socio-cultural sciences, health sciences, and geo-informatics – that designate the main epicenter of research interests recognized by this domain itself. Nevertheless, at the global topological level of all networks, we observe an increasingly interdisciplinary trend over the years, fueled by publications not only from core fields such as communication and computer science, but also from a wide variety of fields in the social sciences, natural sciences, and technology. Our results characterize the specialty structures of this domain at a time of growing emphasis on big social data, and we discuss the implications for indicating interdisciplinarity. 相似文献
3.
《Journal of Informetrics》2022,16(4):101332
Academia has traditionally faced a substantial gender gap in staff positions and career path progression. Women do not advance up the academic career ladder in the same rate as men, with evidence of gender bias in hiring, earnings, funding, and recognition by means of prestigious awards.In this study we focus on gender differences in funding applications. Multiple factors have been proposed as potentially underlying mechanisms creating differences in funding rates between men and women, including bias in peer review processes and differences in language use. In this study we use a set of 1560 full-text applications in the natural and technical sciences that were subjected to a double-blind review process at a Danish private funder to analyse gendered writing as a potential factor causing differences in funding rates. Reproducing analyses from previous studies that found significant differences in writing styles, we analyse patterns in the use of positive words, levels of readability, concreteness and sentiment. Unlike previous studies, we only find minimal differences in writing style between the sexes. We conclude that writing styles are unlikely to account for skewed funding patterns and suggest ways in which funding programmes can be designed to provide fair opportunities to all applicants. 相似文献
4.
The universalism norm of the ethos of science requires that contributions to science are not excluded because of the contributors’ gender, nationality, social status, or other irrelevant criteria. Here, a generalized latent variable modeling approach is presented that grant program managers at a funding organization can use in order to obtain indications of potential sources of bias in their peer review process (such as the applicants’ gender). To implement the method, the data required are the number of approved and number of rejected applicants for grants among different groups (for example, women and men or natural and social scientists). Using the generalized latent variable modeling approach indications of potential sources of bias can be examined not only for grant peer review but also for journal peer review. 相似文献
5.
David Nicholas Eti Herman David Clark Cherifa Boukacem-Zeghmouri Blanca Rodríguez-Bravo Abdullah Abrizah Anthony Watkinson David Sims Marzena 'Świgoń Jie Xu Galina Serbina Hamid R. Jamali Carol Tenopir Suzie Allard 《Learned Publishing》2023,36(2):128-140
After two-years of repeat interviewing early career sciences/social sciences researchers from around the world about their work life and scholarly communications in pandemic-times, the Harbingers-2 project is in a position to release quantitative data on the pandemic's overall impact. The data comes from around 50 questions asked in the third and final round of interviews with 147 early career researchers (ECRs), which had a codifiable element to them (such as yes, no, do not know). The 19 scholarly topics covered include: pandemic-related research; research funding; changes to the workplace/working from home; pandemic-incurred stress and anxiety; teaching; employment security; career progression; mentoring; assessment (including metrics); collaboration; searching/finding information; ethics; networking; informal communication; publishing; sharing; pre-prints; outreach; and scholarly transformations. The main findings are that in six broad aspects of ECRs' work-life and scholarly behaviour, more than 50% of ECRs were impacted by the pandemic, with remote teaching having the greatest impact. By way of comparison, in another six aspects there was little change, least of all when it came to sharing activities. Among the countries studied, Malaysia stood out as being the most impacted, and of the disciplines it was the medical sciences and the soft social sciences most impacted. 相似文献
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The Knight Higher Education Collaborative 《Learned Publishing》2002,15(3):205-216
Do the humanities and social sciences have the same publishing requirements as the sciences? What can be done to counter perceptions that acquisition funds have migrated away from publications in the fields of the humanities and social sciences to meet the escalating cost of electronic and print journals in the natural and applied sciences? With university presses, non-profit publishers, and the academy itself under strain, we examine the problems, discuss the continuing requirements of scholarship, the implications for funding strategies, and the role of technology, and give examples of new ventures that suggest possible solutions to the problems. We conclude that the primary values that scholars in the humanities and social sciences hold are not dramatically different from those of other academic disciplines and make recommendations for building a broader base of support for scholarship in these areas. 相似文献
7.
《Journal of Informetrics》2007,1(2):161-169
The Web of Science is no longer the only database which offers citation indexing of the social sciences. Scopus, CSA Illumina and Google Scholar are new entrants in this market. The holdings and citation records of these four databases were assessed against two sets of data one drawn from the 2001 Research Assessment Exercise and the other from the International bibliography of the Social Sciences. Initially, CSA Illumina's coverage at journal title level appeared to be the most comprehensive. But when recall and average citation count was tested at article level and rankings extrapolated by submission frequency to individual journal titles, Scopus was ranked first. When issues of functionality, the quality of record processing and depth of coverage are taken into account, Scopus and Web of Science have a significant advantage over the other two databases. From this analysis, Scopus offers the best coverage from amongst these databases and could be used as an alternative to the Web of Science as a tool to evaluate the research impact in the social sciences. 相似文献
8.
Peter van den Besselaar 《Journal of Informetrics》2012,6(4):580-585
Project funding is an increasingly important mode of research funding. The rationale is that through project funding new fields and new themes can be supported more effectively. Furthermore, project funding improves competition, which is expected to select the better research projects and researchers. However, project funding has a price, as it requires researchers to invest time in reviewing proposals, and to participate in selection committees. In that perspective, selection committee membership can be seen as a service to the scholarly community.However, what do committee members themselves get from membership? In this paper we show that committee members in average are more successful in grant applications than other principle investigators, and this is not explained by performance differences. The findings suggest that committee membership is not only service, but also self-service. 相似文献
9.
在不同领域,随着数据规模的日益扩大,对于数据的自动分析技术已变得不可或缺。人们通过数据挖掘技术可以更高效地得到大规模数据的各种特征。在知识发现的过程中,无论对于数据分析还是数据挖掘,可视化都是将数据中的特征转换为知识的关键步骤。文章将从可视化分析与信息可视化的角度概述在科技信息领域中关系数据的可视化分析方法及其应用。首先,文章介绍在科技信息领域可视化的相关方法,以及信息可视化的特点与局限;接着介绍可视化分析在科技信息领域的相关工具与系统;最后给出一个对我国生命科学领域论文同被引网络的可视化分析实例。通过对该同被引网络的可视化分析,可以很直观地发现在该研究领域的不同研究方向以及引领这些研究方向的主要论文及其关系。 相似文献
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《Journal of Informetrics》2023,17(3):101430
The increasingly systemic nature of innovation activities requires the development of appropriate and reliable indicators that accurately reflect interactions between actors in the innovation scenery. While patent data offers potential to identify such interactions, previous research has tended to focus on inventors rather than applicants, due to the discretionary nature of filing decisions on the level of applicants. As such, the phenomenon of co-patents – patent applications filed by two or more independent entities – has received only limited attention. We address this gap by first, developing and validating an applicant name disambiguation approach to identify seemingly ‘false’ co-patents, implying multiple applicants that are likely part of the same organizational entity. Second, we assess co-patent trends across technology fields, countries and types of actors in Europe. Results suggest that a considerable number (30%) of European co-patents filed with the EPO are likely to be ‘false’ co-patents. The resulting, deflated figures suggest that co-patenting coincides with developing dynamics, both at the level of national innovation systems as well as in (emergent) science-intensive fields. The observed growth of co-patenting over time is primarily driven by co-patenting activities involving public actors; co-patenting trends involving companies and entrepreneurs remain stable over time. 相似文献
12.
[目的/意义] 对影响人文社科领域引进人才绩效的因素进行多方面的实证研究,有助于考察引进人才在聘期内的学术能力成长效能,建立合理的考核评价指标。[方法/过程] 通过相关性分析和回归分析等方法,以高校A引进人文社科领域创新人才为数据样本,从人才引进时人员的基本情况、学术产出、科研资金投入、学术影响力和合作关系等方面构建影响该类人员引进效能评估的指标体系。[结果/结论] 人文社科领域人才引进效能受到人员引进前基本情况的影响,其学术产出、科研投入、合作情况和影响力逐层对其成长效能产生有效影响,其中以关键作者身份发文数量、依托引进单位发文数量、专著数量、获得该单位资助科研金额、引进前合作学者数量和CSSCI被引次数等变量呈现较好的评价效果。人文社科引进人才的常用指标在回归分析时出现了相互影响,需要对同一数据类型中自相关较高或共线性较高的因素进行选择。多方面考察的同时,选择有代表性的指标方能有效地揭示引进人才的成长效能。 相似文献
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Henk F. Moed 《Journal of Informetrics》2010,4(3):265-277
This paper explores a new indicator of journal citation impact, denoted as source normalized impact per paper (SNIP). It measures a journal's contextual citation impact, taking into account characteristics of its properly defined subject field, especially the frequency at which authors cite other papers in their reference lists, the rapidity of maturing of citation impact, and the extent to which a database used for the assessment covers the field's literature. It further develops Eugene Garfield's notions of a field's ‘citation potential’ defined as the average length of references lists in a field and determining the probability of being cited, and the need in fair performance assessments to correct for differences between subject fields. A journal's subject field is defined as the set of papers citing that journal. SNIP is defined as the ratio of the journal's citation count per paper and the citation potential in its subject field. It aims to allow direct comparison of sources in different subject fields. Citation potential is shown to vary not only between journal subject categories – groupings of journals sharing a research field – or disciplines (e.g., journals in mathematics, engineering and social sciences tend to have lower values than titles in life sciences), but also between journals within the same subject category. For instance, basic journals tend to show higher citation potentials than applied or clinical journals, and journals covering emerging topics higher than periodicals in classical subjects or more general journals. SNIP corrects for such differences. Its strengths and limitations are critically discussed, and suggestions are made for further research. All empirical results are derived from Elsevier's Scopus. 相似文献
15.
基于CSSCI的文科学者H指数实证研究 总被引：3，自引：0，他引：3
从CSSCI中选取文学、历史学、哲学、法学、经济学和图书馆、情报与文献学6个文科学科学者2002-2006年的数据,计算出学者的被引次数C、被引篇数P、篇均被引次数CPP和h指数。分析表明被引次数C与h指数的相关性最大,计算表明对文学和历史学而言Gl nzel-Schubert公式的估计值更接近实际h指数,而其余学科的h指数大多数数据落在Hirsch公式和Egghe-Rousseau公式估计值之间。在所研究的6个文科领域中,Hirsch公式估计值与实际h指数的Pearson相关性较好。 相似文献
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��[Purpose/significance] Scientific data is an important guarantee resource for scientific research and plays an important role in the research activities of research institutions and personnel. Effective management of scientific data can make it play a better role and serve scientific research. It is of great significance for the sustainable development of data management of humanities and social sciences to analyze the existing problems in data management of humanities and social sciences in China and put forward solutions.[Method/process] By analyzing the research status of data management related to humanities and social sciences, this paper summarized the main problems existing in the current management of humanities and social sciences in China, and put forward corresponding countermeasures and suggestions.[Result/conclusion] China's humanities and social science data management has certain problems in terms of policy system, management system, construction content, infrastructure, etc. In the follow-up, we should promote the sound development of humanities and social science data management by improving relevant policies and systems, establishing a collaborative management system, strengthening infrastructure construction, and focusing on personnel training. 相似文献
18.
Massimo Franceschet 《Journal of Informetrics》2010,4(1):55-63
The status of a journal is commonly determined by two factors: popularity and prestige. While the former counts citations, the latter recursively weights them with the prestige of the citing journals. We make a thorough comparison of the bibliometric concepts of popularity and prestige for journals in the sciences and in the social sciences. We find that the two notions diverge more for the hard sciences, including physics, engineering, material sciences, and computer sciences, than they do for the geosciences, for biology-medical disciplines, and for the social sciences. Moreover, we identify the science and social science journals with the highest diverging ranks in popularity and prestige compilations. 相似文献
19.
[目的/意义] 科学数据是科学研究的重要保障资源，对研究机构与研究人员的科研活动具有重要作用。有效管理科学数据能够使其更好地发挥作用，服务于科研工作。分析我国人文社会科学数据管理中存在的问题并提出解决对策，对于人文社会科学数据管理的可持续发展具有重要意义。[方法/过程] 通过分析人文社会科学数据管理相关研究现状，总结我国当前人文社会科学数据管理中存在的主要问题，并提出相应的对策建议。[结果/结论] 我国人文社会科学数据管理在政策制度、管理体制、建设内容、基础设施等方面存在一定的问题，后续应通过完善相关政策制度、建立协同管理体系、加强基础设施建设、注重人才培养等相关措施，以推动我国人文社会科学数据管理的良性发展。 相似文献
20.
Means ML 《Bulletin of the Medical Library Association》2000,88(2):178-186
Traditionally, libraries have provided a modest amount of information about grants and funding opportunities to researchers in need of research funding. Ten years ago, the University of Washington (UW) Health Sciences Libraries and Information Center joined in a cooperative effort with the School of Medicine to develop a complete, library-based grant and funding service for health sciences researchers called the Research Funding Service. The library provided space, access to the library collection, equipment, and electronic resources, and the School of Medicine funded staff and operations. The range of services now includes individual consultation appointments, an extensive Web site, classes on funding database searching and writing grant applications, a discussion series that frequently hosts guest speakers, a monthly newsletter with funding opportunities of interest to the six health sciences schools, extensive files on funding sources, and referral services. 相似文献