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1.
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   

2.
Science is built on scholarly consensus that shifts with time. This raises the question of how new and revolutionary ideas are evaluated and become accepted into the canon of science. Using two recently proposed metrics, atypicality and diruption, we measure how research draws upon novel combinations of prior research and the degree it creates a new direction by eclipsing its intellectual forebears in subsequent work. Atypical papers are nearly two times more likely to disrupt science than conventional papers, but this is a slow process taking ten years or longer for disruption scores to converge. We provide the first computational model reformulating atypicality as the distance across latent knowledge spaces learned by neural networks. The evolution of this knowledge space characterizes how yesterday's novelty forms today's scientific conventions, which condition the noveltyof tomorrow's breakthroughs.  相似文献   

3.
We have developed a (freeware) routine for “Referenced Publication Years Spectroscopy” (RPYS) and apply this method to the historiography of “iMetrics,” that is, the junction of the journals Scientometrics, Informetrics, and the relevant subset of JASIST (approx. 20%) that shapes the intellectual space for the development of information metrics (bibliometrics, scientometrics, informetrics, and webometrics). The application to information metrics (our own field of research) provides us with the opportunity to validate this methodology, and to add a reflection about using citations for the historical reconstruction. The results show that the field is rooted in individual contributions of the 1920s to 1950s (e.g., Alfred J. Lotka), and was then shaped intellectually in the early 1960s by a confluence of the history of science (Derek de Solla Price), documentation (e.g., Michael M. Kessler's “bibliographic coupling”), and “citation indexing” (Eugene Garfield). Institutional development at the interfaces between science studies and information science has been reinforced by the new journal Informetrics since 2007. In a concluding reflection, we return to the question of how the historiography of science using algorithmic means—in terms of citation practices—can be different from an intellectual history of the field based, for example, on reading source materials.  相似文献   

4.
In the second half of the 20th century, scientific research in physics, chemistry, and engineering began to focus on the use of large government-funded laboratories. This shift toward so-called big science also brought about a concomitant change in scientific work itself, with a sustained trend toward the use of highly specialized scientific teams, elevating the role of team characteristics on scientific outputs. The actual impact of scientific knowledge is commonly measured by how often peer-reviewed publications are, in turn, cited by other researchers. Therefore, how characteristics such as author team seniority, affiliation diversity, and size affect the overall impact of team publications was examined. Citation information and author demographics were reviewed for 123 articles published in Physical Review Letters from 2004 to 2006 and written by 476 scientists who used the National High Magnetic Field Laboratory's facilities. Correlation analysis indicated that author teams that were more multi-institutional and had homogeneous seniority tended to have more senior scientists. In addition, the analysis suggests that more mixed seniority author teams were likely to be less institutionally dispersed. Quantile regression was used to examine the relationships between author-team characteristics and publication impact. The analysis indicated that both weighted average seniority and average seniority had a negative relationship with the number of citations the publication received. Furthermore, the analysis also showed a positive relationship between first-author seniority and the number of citations, and a negative relationship between the number of authors and the number of citations.  相似文献   

5.
Given the growing use of impact metrics in the evaluation of scholars, journals, academic institutions, and even countries, there is a critical need for means to compare scientific impact across disciplinary boundaries. Unfortunately, citation-based metrics are strongly biased by diverse field sizes and publication and citation practices. As a result, we have witnessed an explosion in the number of newly proposed metrics that claim to be “universal.” However, there is currently no way to objectively assess whether a normalized metric can actually compensate for disciplinary bias. We introduce a new method to assess the universality of any scholarly impact metric, and apply it to evaluate a number of established metrics. We also define a very simple new metric hs, which proves to be universal, thus allowing to compare the impact of scholars across scientific disciplines. These results move us closer to a formal methodology in the measure of scholarly impact.  相似文献   

6.
The disruption (D) index is a network-based indicator to quantify the extent to which a focal paper disrupts its predecessors. This study focuses on what disruption means by examining example articles related to “sleeping beauties in science” and frequency-inverse document frequency (TF-IDF). We investigated the structure of the citation network and subsequent papers’ motivations for citing the focal papers. Based on the observation that conceptual work is more likely to disrupt science than technical work, we hypothesize that disruption reflects the mechanism of how paradigms shift in the development of science. We also assume that the disruption identified by the D index indicates more than generating a new direction. Disruptive contributions include revolutionary studies such as Nobel-prize-winning papers, as suggested in previous work. However, disruptive contributions also include scientific dissemination of new terminology created by popular proposals, such as “sleeping beauties in science.” Such contributions redefine and popularize phenomena in science.  相似文献   

7.
This article reviews how the journal Archival Science––International Journal on Recorded Information in the first 10 years has endeavoured to be integrated, interdisciplinary, and intercultural in promoting the development of archival science as an autonomous scientific discipline.  相似文献   

8.
《Journal of Informetrics》2019,13(2):515-539
Counting of number of papers, of citations and the h-index are the simplest bibliometric indices of the impact of research. We discuss some improvements. First, we replace citations with individual citations, fractionally shared among co-authors, to take into account that different papers and different fields have largely different average number of co-authors and of references. Next, we improve on citation counting applying the PageRank algorithm to citations among papers. Being time-ordered, this reduces to a weighted counting of citation descendants that we call PaperRank. We compute a related AuthorRank applying the PageRank algorithm to citations among authors. These metrics quantify the impact of an author or paper taking into account the impact of those authors that cite it. Finally, we show how self- and circular-citations can be eliminated by defining a closed market of Citation-coins. We apply these metrics to the InSpire database that covers fundamental physics, presenting results for papers, authors, journals, institutes, towns, countries for all-time and in recent time periods.  相似文献   

9.
While ISSI was founded in 1993, Scientometrics and Bibliometrics are now at least half a century old. Indeed, the field can be traced to early quantitative studies in the early 20th century. In the 1930s, it evolved to the “science of science.” The publication of J.D. Bernal's Social Function of Science in 1939 was a key transition point but the field lay dormant until after World War II, when D.J.D. Price's books Science Since Babylon and Little Science, Big Science were published in 1961 and 1963. His role as the “Father of Scientometrics” is clearly evident by using the HistCite software to visualize his impact as well as the subsequent impact of the journal Scientometrics on the growth of the field. Scientometrics owes its name to V.V. Nalimov, the author of Naukometriya, and to Tibor Braun who adapted the neologism for the journal. The primordial paper on citation indexing by Garfield which appeared in Science 1955 became a bridge between Bernal and Price. The timeline for the evolution of Scientometrics is demonstrated by a HistCite tabulation of the ranked citation index of the 100,000 references cited in the 3000 papers citing Price.  相似文献   

10.
This is the Guest Editor's introduction to the Special Issue on “Science of Science: Conceptualizations and Models of Science”, Journal of Informetrics. The introduction discusses challenges towards a theoretically grounded and practically useful science of science. It provides a brief chronological review of relevant work and argues for (1) the development of common frameworks for the comparison and combination of existing approaches, theories, laws, and measurements, (2) the combination of quantitative and qualitative studies of science, and (3) the operationalization of theoretical concepts in terms of measurement and empirical evidence. Next, three visual conceptualizations of science are discussed and compared. Each of them provides a framework for the comparison and combination of existing works, means to combine quantitative and qualitative data, and helps to operationalize and communicate theoretical concepts using empirical data. Last but not least, the contributions of and interlinkages among the papers included in this issue are discussed.  相似文献   

11.
How do scientific knowledge and technological knowledge interact to influence patent inventions? This study combines the “Reliance on Science in Patenting” dataset with the PATSTAT database to investigate focal patents and their paper references and patent references. A temporal investigation shows a growing tendency that patents absorb more knowledge from patents than papers. Additionally, we conduct two sets of analyses, namely, studying the knowledge flow among 35 technology fields and 39 science fields and estimating the impact of cited references on patent impact. The results show that the fields are heterogeneous in absorbing scientific knowledge and technological knowledge. The empirical models indicate that the knowledge depth of both science and technology show an inverted U-shaped relationship with patent impact, while the curve of former is steeper. The knowledge breadth of both science and technology present a U-shaped relationship with patent impact, while the curve of latter is steeper. We also explore the impact of time lags and time spread on citations and estimate their joint effects. Our study provides a new understanding of the convergence of scientific knowledge and technological knowledge to facilitate patent inventions.  相似文献   

12.
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent. We assess 17 network-based metrics by their ability to identify milestone papers and patents in three large citation datasets. We find that traditional information-retrieval evaluation metrics are strongly affected by the interplay between the age distribution of the milestone items and age biases of the evaluated metrics. Outcomes of these metrics are therefore not representative of the metrics’ ranking ability. We argue in favor of a modified evaluation procedure that explicitly penalizes biased metrics and allows us to reveal metrics’ performance patterns that are consistent across the datasets. PageRank and LeaderRank turn out to be the best-performing ranking metrics when their age bias is suppressed by a simple transformation of the scores that they produce, whereas other popular metrics, including citation count, HITS and Collective Influence, produce significantly worse ranking results.  相似文献   

13.
Today’s scientific research is an expensive enterprise funded primarily by taxpayers’ and corporate groups’ monies. All nations want to discover fields of study that promise to create future industries, and dominate these by building up and securing scientific and technological expertise early. However, the conversion of scientific leadership into market dominance remains very much an alchemy. To gain insights into how science becomes technology, we focused on graphene (which shows promise in batteries, sensors, flexible displays and other technologies) as a case study. In particular, we asked whether research on the material is on track to deliver all its technological promises. To answer this question, we analyzed in this paper bibliometric records of scientific journal publications and patents related to graphene. While performing straightforward analyses at the aggregate and temporal level to do so, we stumbled upon evidences that suggest ‘Golden Eras’ of graphene science and technology in the recent past. To confirm this unexpected finding, we developed a novel simulation-based method to determine how the interest levels in graphene science and technology change with time. We then found compelling evidences that these interest levels peaked in 2010 and 2012 respectively, despite the continued growth of journal and patent publications in this area. This suggests that publication numbers in a research topic could sometimes give rise to false positives concerning its importance.  相似文献   

14.
齐燕 《图书情报工作》2019,63(23):97-105
[目的/意义] 对科学研究成果与专利技术创新之间知识扩散和交叉融合发展态势的剖析，是学科领域布局、研发投入及科技资源配置等工作的重要决策依据。现有研究的测度指标未能详尽反映科技关联关系的特征及演变规律，通过设计新的指标，提出聚焦演变态势分析的领域科技关联关系测度指标及方法。[方法/过程] 通过对现有测度指标进行分析归纳，将单一的科学关联度和/或关联时滞指标扩展为紧密性、时效性、多样性三个方面分层次的测量指标，从而较全面地揭示和发现科技关联的程度及特征规律。[结果/结论] 利用本文构建的测度指标对HCV研究领域进行了计算和讨论，揭示出了该领域科技关联发展态势，并体现了新指标在测度维度系统性上的优势以及其结论对专利技术研发活动的参考价值。  相似文献   

15.
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16.
Risk plays a fundamental role in scientific discoveries, and thus it is critical that the level of risk can be systematically quantified. We propose a novel approach to measuring risk entailed in a particular mode of discovery process – knowledge recombination. The recombination of extant knowledge serves as an important route to generate new knowledge, but attempts of recombination often fail. Drawing on machine learning and natural language processing techniques, our approach converts knowledge elements in the text format into high-dimensional vector expressions and computes the probability of failing to combine a pair of knowledge elements. Testing the calculated risk indicator on survey data, we confirm that our indicator is correlated with self-assessed risk. Further, as risk and novelty have been confounded in the literature, we examine and suggest the divergence of the bibliometric novelty and risk indicators. Finally, we demonstrate that our risk indicator is negatively associated with future citation impact, suggesting that risk-taking itself may not necessarily pay off. Our approach can assist decision making of scientists and relevant parties such as policymakers, funding bodies, and R&D managers.  相似文献   

17.
Studies on the relationship between the numbers of citations and downloads of scientific publications is beneficial for understanding the mechanism of citation patterns and research evaluation. However, seldom studies have considered directionality issues between downloads and citations or adopted a case-by-case time lag length between the download and citation time series of each individual publication. In this paper, we introduce the Granger-causal inference strategy to study the directionality between downloads and citations and set up the length of time lag between the time series for each case. By researching the publications on the Lancet, we find that publications have various directionality patterns, but highly cited publications tend to feature greater possibilities to have Granger causality. We apply a step-by-step manner to introduce the Granger-causal inference method to information science as four steps, namely conducting stationarity tests, determining time lag between time series, establishing cointegration test, and implementing Granger-causality inference. We hope that this method can be applied by future information scientists in their own research contexts.  相似文献   

18.
ABSTRACT

Changes in information communication technology across the Asian region have altered our field substantively and methodologically. The rapid growth of digitized communications allows us to find new purchase in examining questions fundamental to our understanding of communication theories, norms, and practices across Asia. While methods such as text mining and user analytics are increasingly popular among computational scholars, here, we focus on online field experiments, an approach to studying communication that has the potential to overcome many existing obstacles to social scientific inquiry but one that has been used relatively rarely in Asia. In this paper, we discuss what online field experiments are and how they differ from traditional experiments as well as online lab and survey experiments. We show how researchers can go about designing and implementing online field experiments, focusing on issues where online field experiments differ from their traditional counterparts – legal and ethical considerations, construct validity, randomization and spillover, and statistical analyses. Finally we discuss how online field experiments can advance our understanding of communication in Asia by helping researchers to gain insight and make causal inferences on attitudes, behaviors, and interactions that were previously unobservable ?.  相似文献   

19.
The rise of software as a research object is mirrored by increasing interests in quantitative studies of scientific software. However, inconsistent citation practices have led most existing studies of this type to base their analysis of software impact on software name mentions, as identified in full-text publications. Despite its limitations, citation data exists in much greater quantities and covers a broader array of scientific fields than full-text data, and thus can support investigations with much wider scope. This paper aims to analyze the extent to which citation data can be used to reconstruct the impact of software. Specifically, we identify the variety of citable objects related to the lme4 R package and examine how the package’s impact is dispersed across these objects. Our results shed light on a little-discussed challenge of using citation data to measure software impact: even within the category of formal citation, the same software object might be cited in different forms. We consider the implications of this challenge and propose a method to reconstruct the impact of lme4 through its citations nonetheless.  相似文献   

20.
This paper reports on problems and conflicts encountered when using decision support systems (DSS) in political contexts. Based on a literature study and two case studies we describe problems encountered in relation not only to the DSS itself, but also to the political decision process. The case studies have been carried out in two cities in Sweden that at different times but in similar situations have used DSS in order to reach a decision in complicated and contested matters. In both cases we have previously found that the method and IT tool used for decision analysis were appreciated by most participants, but the inherent rationality of the DSS was in conflict with how participants usually make decisions as well as with the political process. The assumption was that a strict and open method would make grounds for clear decisions, but the results of the decision process were none of the cases implemented. In one case the result of the decision analysis was that no clear decision was made. In the other case the lowest ranked alternative was implemented. Furthermore, in neither city the method was ever used again. We therefore ask: What are the challenges and limitations to using DSS in political contexts? Our study shows that challenges relate to selecting and using criteria; eliciting weights for criteria (high level of subjectivity); understanding all the amount of facts available in the system; time constraints; and lack of impact on the final decision. This study contributes to both research and practice by increasing the understanding of what challenges are experienced in DSS use, since the findings can be used as a framework of challenges that should be addressed, in design of systems as well as method for use. The study also contributes to understanding the role of politicians in decision-making and the consequences for the use of DSS. Further, the literature study showed that there are overall very few studies on the actual use of DSS in a political context, and we therefore conclude by encouraging more studies reporting actual use.  相似文献   

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