共查询到20条相似文献，搜索用时 31 毫秒
1.
《Journal of Informetrics》2014,8(2):421-430
Unlike Impact Factors (IF), Article Influence (AI) scores assign greater weight to citations that appear in highly cited journals. The natural sciences tend to have higher citation rates than the social sciences. We might therefore expect that relative to IF, AI overestimates the citation impact of social science journals in subfields that are related to (and presumably cited in) higher-impact natural science disciplines. This study evaluates that assertion through a set of simple and multiple regressions covering seven social science disciplines: anthropology, communication, economics, education, library and information science, psychology, and sociology. Contrary to expectations, AI underestimates 5IF (five-year Impact Factor) for journals in science-related subfields such as scientific communication, science education, scientometrics, biopsychology, and medical sociology. Journals in these subfields have low AI scores relative to their 5IF values. Moreover, the effect of science-related status is considerable—typically 0.60 5IF units or 0.50 SD. This effect is independent of the more general finding that AI scores underestimate 5IF for higher-impact journals. It is also independent of the very modest curvilinearity in the relationship between AI and 5IF. 相似文献
2.
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
3.
《Journal of Informetrics》2020,14(2):101012
The sleeping beauties in science signify a unique knowledge diffusion trajectory created by citation after the publication of scientific literature. However, in social media, scientific knowledge creates a new diffusion trajectory through social media metrics such as View, Save, Discussed, and Recommendations. This study aims to define social media–based sleeping beauties S-SB in science by using social media metrics which we termed as citation-based Sleeping Beauties in science, C-SB. We constructed a quantitative method to identify S-SB and conducted an empirical study of all types of 4019 articles published in PLOS Biology. Comparison of the S-SB and C-SB results revealed that from the perspective of social media metrics, C-SB has become the literature of S-total elements early gradual awakening type, S-total elements delay gradual awakening type, and S-early sudden awakening type. Moreover, the awakening time of C-SB literature under the action of social media metrics was found to be 4–5 years earlier than that under the action of citation-based indicators. Both C-SB and S-SB included significant “Editorial Material,” establishing that “Editorial Material” type literature is noteworthy while promoting the diffusion of scientific knowledge. Overall, this study extends the perspective of sleeping beauties in science. 相似文献
4.
The Web impact of open access social science research 总被引：1，自引：0，他引：1
For a long time, Institute for Scientific Information (ISI) journal citations have been widely used for research performance monitoring of the sciences. For the social sciences, however, the Social Sciences Citation Index® (SSCI®) can sometimes be insufficient. Broader types of publications (e.g., books and non-ISI journals) and informal scholarly indicators may also be needed. This article investigates whether the Web can help to fill this gap. The authors analyzed 1530 citations from Google™ to 492 research articles from 44 open access social science journals. The articles were published in 2001 in the fields of education, psychology, sociology, and economics. About 19% of the Web citations represented formal impact equivalent to journal citations, and 11% were more informal indicators of impact. The average was about 3 formal and 2 informal impact citations per article. Although the proportions of formal and informal online impact were similar in sociology, psychology, and education, economics showed six times more formal impact than informal impact. The results suggest that new types of citation information and informal scholarly indictors could be extracted from the Web for the social sciences. Since these form only a small proportion of the Web citations, however, Web citation counts should first be processed to remove irrelevant citations. This can be a time-consuming process unless automated. 相似文献
5.
Combining different data sets with information on grant and fellowship applications submitted to two renowned funding agencies, we are able to compare their funding decisions (award and rejection) with scientometric performance indicators across two fields of science (life sciences and social sciences). The data sets involve 671 applications in social sciences and 668 applications in life sciences. In both fields, awarded applicants perform on average better than all rejected applicants. If only the most preeminent rejected applicants are considered in both fields, they score better than the awardees on citation impact. With regard to productivity we find differences between the fields. While the awardees in life sciences outperform on average the most preeminent rejected applicants, the situation is reversed in social sciences. 相似文献
6.
《Library & information science research》2020,42(1):100999
An increasingly data-intensive research environment has highlighted the need for greater research transparency to facilitate integrity and trust in open science and in the conduct of research more widely. The initial findings of faculty researchers' behaviors and practices toward research transparency, using the research data lifecycle as a grounding framework are reported. Four focus group sessions were conducted with faculty researchers in different disciplines, including natural sciences, social sciences, engineering, and different transparency practices were captured using the researchers' own language. Four generic transparency components were identified: action verb, object, task, and stage in the research lifecycle. The inter-relationships between specific transparency components were visualized using network visualizations. The network visualizations suggest that the lifecycle stages of Process/Visualize/Analyze and Publish/Preserve/Archive are key points for transparency, where ‘data’ play a critical role demonstrated by the multiple node-edge relationships. Based on the findings, a conceptual model, termed the Tasks-Toward-Transparency (T3) Model, was developed. This model may inform researcher practices and support research stakeholders whose role is to articulate and deliver transparency advocacy, policy, training programs, and services. 相似文献
7.
《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
8.
9.
《Behavioral & Social Sciences Librarian》2013,32(1):5-22
Massive projects from the University of Bath in the late 1960's brought knowledge of how scholars use social science information up to the level of similar knowledge for the natural sciences. Persistent themes of selected studies since Bath include: Social, like natural, scientists tend to use private sources and informal networks rather than libraries; value of citation studies as guides to library collection building is disputed: machine access to social science data bases is increasing and is accepted but trained operators are required; social science research findings are reaching and influencing policy makers to a greater extent than previously thought. 相似文献
10.
理工类院校综合性社科学报有其产生的必然性和存在的合理性,然而人们却对它抱有偏见.在高校综合性社科学报中,理工类院校综合性社科学报发展最快,具有良好的发展态势.但要办成有影响的学术刊物,必须克服路径依赖,以科学发展观为指导,实行开放办刊和匿名双向审稿制度,还要扬长避短,努力办出特色,建设一支高素质的学者型编辑队伍. 相似文献
11.
L. A. Denisova V. M. Efremenkova G. A. Kusch T. P. Ponomarenko 《Scientific and Technical Information Processing》2011,38(2):123-131
We trace the reflection of patent information in the database/abstract service of the All-Russia Institute of Scientific and
Technical Information of the RAS from the date of their origin. We present the technology for forming the input flow of patent
documents. We describe the retrofunds of patent documents reflected in the four blocks of the database of the All-Russia Institute
of Scientific and Technical Information on natural science, technical sciences, life sciences and earth sciences in the period
from 1981 to 2009. We analyze the distribution dynamics of arrays of patents in the polythematic database and in every block
of the database of the All-Russia Institute of Scientific and Technical Information. 相似文献
12.
Lucia Vesnic-Alujevic 《Publishing Research Quarterly》2014,30(1):39-49
The second half of the twentieth century brought major changes in the society and consequently in the different areas of the sciences. The growing number of universities after the second world war, the post-war industrial growth and later digitalization transformed the sciences present until then, enlarged the scientific community and the number of scientific publications. In the last couple of decades, the creation of web 2.0 brought new possibilities for knowledge co-production, interaction and exchange between all interested parties in research. The goal of this paper is to explore the possibilities for (extended) peer review and quality control on the internet, primarily blogs and social media, which could contribute to the standard peer review process and open the sciences to a wider audience. We are wondering if these processes could also raise the quality in science and lead to the democratization of knowledge production. We argue that changes in science also have an impact in reshaping the society and bringing democratization in knowledge production. 相似文献
13.
《The Reference Librarian》2013,54(91-92):211-234
14.
��[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
15.
《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
16.
《Journal of Informetrics》2020,14(2):101017
In this study, we investigate the extent to which patent citations to papers can serve as early signs for predicting delayed recognized knowledge in science using a comparative study with a control group, i.e., instant recognition papers. We identify the two opposite groups of papers by the Bcp measure, a parameter-free index for identifying papers which were recognized with delay. We provide a macro (Science/Nature papers dataset) and micro (a case chosen from the dataset) evidence on paper-patent citation linkages as early signs for predicting delayed recognized knowledge in science. It appears that papers with delayed recognition show a stronger and longer technical impact than instant recognition papers. We provide indication that in the more recent years papers with delayed recognition are awakened more often and earlier by a patent rather than by a scientific paper (also called “prince”). We also found that patent citations seem to play an important role to avoid instant recognition papers to level off or to become a so called “flash in the pan”, i.e., instant recognition. It also appears that the sleeping beauties may firstly encounter negative citations and then patent citations and finally get widely recognized. In contrast to the two focused fields (biology and chemistry) for instant recognition papers, delayed recognition papers are rather evenly distributed in biology, chemistry, psychology, geology, materials science, and physics. We discovered several pairs of “science sleeping”-“technology inducing”, such as “biology-biotechnology/pharmaceuticals”, “chemistry-chemical engineering”, as well as some trans-fields science-technology interactions, such as “psychology - computer technology/control technology/audio-visual technology”, “physics - computer technology”, and “mathematics-computer technology”. We propose in further research to discover the potential ahead of time and transformative research by using citation delay analysis, patent & NPL analysis, and citation context analysis. 相似文献
17.
[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
18.
This paper investigates the citation impact of three large geographical areas – the U.S., the European Union (EU), and the rest of the world (RW) – at different aggregation levels. The difficulty is that 42% of the 3.6 million articles in our Thomson Scientific dataset are assigned to several sub-fields among a set of 219 Web of Science categories. We follow a multiplicative approach in which every article is wholly counted as many times as it appears at each aggregation level. We compute the crown indicator and the Mean Normalized Citation Score (MNCS) using for the first time sub-field normalization procedures for the multiplicative case. We also compute a third indicator that does not correct for differences in citation practices across sub-fields. It is found that: (1) No geographical area is systematically favored (or penalized) by any of the two normalized indicators. (2) According to the MNCS, only in six out of 80 disciplines – but in none of 20 fields – is the EU ahead of the U.S. In contrast, the normalized U.S./EU gap is greater than 20% in 44 disciplines, 13 fields, and for all sciences as a whole. The dominance of the EU over the RW is even greater. (3) The U.S. appears to devote relatively more – and the RW less – publication effort to sub-fields with a high mean citation rate, which explains why the U.S./EU and EU/RW gaps for all sciences as a whole increase by 4.5 and 5.6 percentage points in the un-normalized case. The results with a fractional approach are very similar indeed. 相似文献