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1.
Machine learning (ML) methods have recently been applied in diverse fields of study. ML methods provide new toolkits and opportunities for social sciences, but they have also raised concerns with their black-box nature, irreproducibility, and emphasis on prediction rather than explanation. Against this backdrop, we study the bibliometric impact of leveraging ML methods in economics using publications indexed in Microsoft Academic Graph. We use our four-dimensional bibliometric framework by which we gage citation intensity, speed, breadth, and disruption to compare two groups of publications in economics (2001–2020)—those using ML methods and others not. We find that economics papers applying ML methods started to have advantages in citation counts and speed after 2010. Our analysis also shows that they received attention from more diverse research communities and had more disruptive citations over the past two decades. Then, we demonstrate that economics papers using ML methods obtained more disruptive citations within economics than outside. These findings suggest bibliometric advantages for applying ML methods in economics, especially in the recent decade, but we also discuss cautions and potential opportunities missed.  相似文献   

2.
This study explores the impact of different collaboration modes on the cited frequency of publications. Though several studies have obtained some research results, most of them exploit association or regression-based methods, which may not lead to causal conclusions. To overcome the above challenges, we use the Propensity Score Matching (PSM) method to analyze and compare the citation frequencies resulting from four groups of collaboration models: international versus domestic, international multilateral versus international bilateral, domestic inter-organizational versus domestic intra-organizational, and domestic multi-author versus domestic single-author. More specifically, we conduct this analysis by exploring the publications with three computer science subfields from the Web of Science (WoS) database. The experimental results show that international collaboration, especially international multilateral collaboration, has a significant role in increasing the frequency of citations to scientific publications, showing that internationalization and collaboration are critical factors in the growth of the impact of the papers. Among national co-publications, collaborative publications within national organizations receive a higher citation impact. Multi-author collaborations significantly increase citation frequency compared to single-author publications. Our heterogeneity analysis across the different subfields of the computer science domain finds that the treatment effects for the three subfields differ modestly and mostly significant from the whole sample. Moreover, besides the implications for developing research policy and scientist collaboration, our study can capture the causal effect between author collaboration patterns and citation frequency to reveal their causal effects.  相似文献   

3.
Objective: The purpose of this study is to analyse Iranian scientific publications in the neuroscience subfields by librarians and neuroscientists, using Science Citation Index Expanded (SCIE) via Web of Science data over the period, 2002–2008. Methods: Data were retrieved from the SCIE. Data were collected from the ‘subject area’ of the database and classified by neuroscience experts into 14 subfields. To identify the citation patterns, we applied the ‘impact factor’ and the ‘number of publication’. Data were also analysed using HISTCITE, Excel 2007 and SPSS. Results: Seven hundred and thirty‐four papers have been published by Iranian between 2002 and 2008. Findings showed a growing trend of neuroscience papers in the last 3 years with most papers (264) classified in the neuropharmacology subfield. There were fewer papers in neurohistory, psychopharmacology and artificial intelligence. International contributions of authors were mostly in the neurology subfield, and ‘Collaboration Coefficient’ for the neuroscience subfields in Iran was 0.686 which is acceptable. Most international collaboration between Iranians and developed countries was from USA. Eighty‐seven percent of the published papers were in journals with the impact factor between 0 and 4; 25% of papers were published by the researchers affiliated to Tehran University of Medical Sciences. Conclusion: Progress of neuroscience in Iran is mostly seen in the neuropharmacology and the neurology subfields. Other subfields should also be considered as a research priority by health policymakers. As this study was carried out by the collaboration of librarians and neuroscientists, it has been proved valuable for both librarians and policymakers. This study may be encouraging for librarians from other developing countries.  相似文献   

4.
This article investigates the e-print depositing behavior of physicists and astronomers. Fifty-six PhD students and staff at the Department of Physics and Astronomy at the University College London were interviewed. A survey was also carried out (47.1% response rate). The study investigates the relation between variables such as research area, type of research (theoretical, experimental and so on), and the amount of reading on the patterns of e-print depositing. The findings showed that clear intradisciplinary differences exist among different subfields of physics and astronomy.  相似文献   

5.
针对Palla等人提出的派系过滤算法无法解决复杂网络中非派系内的节点的社团归属问题以及已有的硬划分社团检测算法不能反映复杂网络中社团间重叠的现象,提出一种改进的交连社团检测方法。该方法不仅可以有效地进行社团的检测,而且可以发现社团之间的重叠部分。对一个科研合作网络的实际数据进行仿真,实验结果表明该算法是可行的。  相似文献   

6.
Changes in the number of publications in a certain field might reflect the dynamic of scientific progress in this field, since an increase in the number of publications can be interpreted as an increase in the field-specific knowledge. In this paper, we present a methodological approach to analyse the dynamics of science on lower aggregation levels, i.e., the level of research fields. Our trend analysis approach is able to uncover very recent trends, and the methods used to study the trends are simple to understand for the possible recipients of the results. In order to demonstrate the trend analysis approach, we focused in this study on the annual number of publications (including patents) in chemistry (and related areas) between 2014 and 2020 identifying those fields in chemistry with the highest dynamics (largest rates of change in publication counts). The study is based on the mono-disciplinary literature database CAplus. Our results reveal that the number of publications in the CAplus database is increasing since many years. Research regarding optical phenomena and electrochemical technologies was found to be among the emerging topics in recent years.  相似文献   

7.
The growing complexity of scientific challenges demands increasingly intense research collaboration, both domestic and international. The resulting trend affects not only the modes of producing new knowledge, but also the way it is disseminated within scientific communities. This paper analyses the relationship between the “degree of internationalization” of a country’s scientific production and that of the relevant citing publications. The empirical analysis is based on 2010-2012 Italian publications. Findings show: i) the probability of being cited increases with the degree of internationalization of the research team; ii) totally domestic research teams tend to cite to a greater extent totally domestic publications; iii) vice versa, publications resulting from international collaborations tend to be more cited by totally foreign publications rather than by publications including domestic authors. These results emerge both at overall and at discipline level. Findings might inform research policies geared towards internationalization.  相似文献   

8.
The structural properties of the network generated by the editorial activities of the members of the boards of “Information Science & Library Science” journals are explored through network analysis techniques. The crossed presence of scholars on editorial boards, the phenomenon called interlocking editorship, is considered a proxy of the similarity of editorial policies. The evidences support the idea that this group of journals is better described as a set of only relatively connected subfields. In particular two main subfields are identified, consisting of research oriented journals devoted respectively to LIS and MIS. The links between these two subsets are weak. Around these two subsets there are a lot of (relatively) isolated professional journals or journals characterized more by their subject-matter content than by their focus on information flows. It is possible to suggest that this configuration of the network may be the consequence of the youthfulness of Information Science & Library Science, which has not permitted yet to reach a general consensus through scholars on research aims, methods and instruments.  相似文献   

9.
Research topics and research communities are not disconnected from each other: communities and topics are interwoven and co-evolving. Yet, scientometric evaluations of topics and communities have been conducted independently and synchronically, with researchers often relying on homogeneous unit of analysis, such as authors, journals, institutions, or topics. Therefore, new methods are warranted that examine the dynamic relationship between topics and communities. This paper examines how research topics are mixed and matched in evolving research communities by using a hybrid approach which integrates both topic identification and community detection techniques. Using a data set on information retrieval (IR) publications, two layers of enriched information are constructed and contrasted: one is the communities detected through the topology of coauthorship network and the other is the topics of the communities detected through the topic model. We find evidence to support the assumption that IR communities and topics are interwoven and co-evolving, and topics can be used to understand the dynamics of community structures. We recommend the use of the hybrid approach to study the dynamic interactions of topics and communities.  相似文献   

10.
Data are becoming an essential product of scholarship, complementing the roles of journal articles, papers, and books. Research data can be reused to ask new questions, to replicate studies, and to verify research findings. Data become even more valuable when linked to publications and other related resources to form a value chain. Types and uses of data vary widely between disciplines, as do the online availability of publications and the incentives of scholars to publish their data. Publishers, scholars, and librarians each have roles to play in constructing a new scholarly information infrastructure for e‐research. Technical, policy, and institutional components are maturing; the next steps are to integrate them into a coherent whole. Achieving a critical mass of datasets in public repositories, with links to and from publisher databases, is the most promising solution to maintaining and sustaining the scholarly record in digital form.  相似文献   

11.
Since the late 1800s library and information science (LIS) publications have discussed community assessment as a process for librarians to acknowledge the distinct needs and interests of their communities and respond by meeting those needs. The varied publications on the topic do not authorize any community assessment model or conceptual framework as the professional standard. This literature review examines community assessment publications, primarily in LIS. Instructional resources and publications provide a variety of suggestions for methods of conducting community assessments, while case studies illustrate the successes and challenges of various methods. Librarians must continue community engagement and advance cultural awareness in community assessment.  相似文献   

12.
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   

13.
PurposeThis mixed-methods study integrates bibliometric and altmetric investigation with a qualitative method in order to assess the prevalence and societal-impact of Open-Access (OA) publications, and to reveal the considerations behind researchers' decision to publish articles in closed and open-access.Design/methodology/approachThe bibliometric-altmetric study analyzed 584 OA and closed publications published between 2014 and 2019 by 40 Israeli researchers: 20 from STEM (Science, Technology, Engineering, Math) and 20 from SSH (Social Sciences and Humanities) discipline. We used a multistage cluster sampling method to select a representative sample for the STEM disciplines group (engineering, computer science, biology, mathematics, and physics), and for the SSH disciplines group (sociology, economics, psychology, political science, and history). Required data were extracted from Scopus and Unpaywall databases, and the PlumX-platform. Among the 40 researchers who were selected for the bibliometric-altmetric study, 20 researchers agreed to be interviewed for this study.FindingsComparing bibliometrics and altmetrics for the general publications did not reveal any significant differences between OA and closed publications. These were found only when comparing OA and closed publications across disciplines. STEM-researchers published 59 % of their publications in OA, compared to just 29 % among those in SSH, and they received significantly more bibliometric and altmetric citations from SSH OA publications and from their own closed-access publications. The altmetrics findings indicate that researchers are well acquainted and active in social media. However, according to the interviewees, there is no academic contribution for sharing research findings on social-media; it is viewed as a “public-service”. Researchers' primary consideration for publishing in closed or OA was the journal impact-factor.Research limitations/implicationsOur findings contribute to the increasing body of research that addresses OA citations and societal-impact advantages. The findings suggest the need to adopt an OA-policy after a thorough assessment of the consequences for SSH disciplines.  相似文献   

14.
科学研究的目的在于创造知识,并应用理论成果解决我国社会、经济、文化等发展中的实际问题。将论文发表在国际期刊上可以让更多的国际同行了解我国最新的科研成果,为我国获得更多的国际影响力,所以在过去二十多年里SCI论文成为我国科研考核的一个重要指标。在这种科研评价导向下,我国学者发表的国际论文数量已居世界第一位,而大量来自国内同行的引用使得我国国际论文的被引量排名世界第二。本文提取1990至2015年Web of Science论文及其引文的数据,分析不同国家、不同学科在国家层次的自引情况,并在不同国家、不同学科之间进行比较。研究发现,在排除国内同行的自引后,我国国际论文的真实国际影响力仍然有限,除了临床医学和物理等少数学科外,其他学科仍然低于全球平均水平。  相似文献   

15.
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   

16.
Abstract

This study shares the results of a citation analysis performed on the publications of the faculty of the College of Business at a large public university in the southern United States for the years 2014–2018. The study examined articles produced by the faculty over the last five years, as well as their cited references and citing articles, in an attempt to establish a list of core journals for business and uncover potential gaps in coverage. Implications for collection development are addressed, as are the benefits for early-career librarians or those unfamiliar with the publishing behaviors of a newly assigned subject discipline.  相似文献   

17.
This study examined factors that might affect researchers' willingness to collaborate with a specific researcher and the priorities given to those factors. In addition, it investigated how researchers determined the ownership of collaborative project data and how they determined the order of authorship on collaborative publications in condensed matter physics. In general, researchers rated their intrinsic motivations the highest, such as the quality of ideas a potential collaborator might have and their satisfaction with a past collaboration, followed by their extrinsic motivations, such as the complementary knowledge, skills, or resources the collaborator could provide. In addition, researchers who had a greater number of collaborative projects and researchers who had served as a project PI or co-PI valued the deep-level, personality-related characteristics of a collaborator higher than did those who had not. Younger researchers were more risk averse and more concerned with a collaborator's reputation and the possible cost of a collaboration decision. Additionally, younger researchers indicated more often than older researchers that they did not know whether their project teams followed any rules or norms or engaged in negotiation to determine the order of authorship on collaborative publications.  相似文献   

18.
This paper gives the results of the scientometric analysis of foreign publications by Kazakh authors that was reflected in the SCOPUS DB in 1991–2008. The publication activity is expressed in 3883 documents, the citation index of which is 10 132. The average share of Kazakh publications in the total worldwide flow is equal to 0.017%. The citation rate of publications was revealed to have significantly grown since the 1996–2000 period. It is shown that most articles were written in English and published in periodical editions. The main themes of publications are represented by physics and chemistry. The leading foreign partners of Kazakhstan in the scientific sphere were determined. Kazakh-Russian scientific cooperation is developing most fruitfully.  相似文献   

19.
To some extent, written academic discourse represents the knowledge and practices of the academic community. Studies investigating writing styles in various disciplines have flourished, but fewer studies have leveraged multi-perspective linguistic indices to analyze academic writings, especially in the information science and library science (IS-LS) domain. This study attempts to provide an overview of how writing styles have evolved over the past 30 years across various subfields in IS-LS from multiple perspectives, that is, lexical complexity, cohesion, syntactic complexity, and readability. Based on a large set of abstracts of academic papers published in IS-LS, the empirical findings showed that the readability, cohesion, and lexical sophistication of abstracts in the IS-LS domain have increased over time, indicating that abstracts tend to contain more information but become less accessible. The gradual improvement in cohesion suggests that academic writing logic has increased, and the rigor of knowledge construction of scientific papers has improved. Furthermore, considerable linguistic variations emerged between subfields in the IS-LS domain, particularly at the lexical level. This study suggested that different subfields had various writing styles due to their research topics, methodologies, orientations, etc. The study also found that papers published in top quartile journals and those that gained higher citations typically had larger lexical density, lexical sophistication, cohesion, and readability. This suggests that influential papers tend to carry more information, address more complex scientific issues, and exercise caution in knowledge construction and presentation.  相似文献   

20.
Australia has a well-established history of access to government information and publications by citizens, much of it through libraries. The changes in the 1990s and 2000s with the move to electronic publishing and Internet access have led to significant changes in the accessibility of information. In 1997, the Australian Government framework for electronic delivery of information service was established by the report Management of Government Information as a National Strategic Resource. Since this report, there has been a rapid increase in the availability of government information, including government publications. There has also been an increased demand for public libraries to support access. The paper reviews establishment of the initial framework and changes in the past decade. Trends in production of government information, citizens' use of electronic Australian Government publications, satisfaction with online government services, and implications for libraries are analyzed.  相似文献   

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