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1.
We performed a citation analysis on the Web of Science publications consisting of more than 63 million articles and over a billion citations on 254 subjects from 1981 to 2020. We proposed the Article’s Scientific Prestige (ASP) metric and compared this metric to number of citations (#Cit) and journal grade in measuring the scientific impact of individual articles in the large-scale hierarchical and multi-disciplined citation network. In contrast to #Cit, ASP, that is computed based on the eigenvector centrality, considers both direct and indirect citations, and provides steady-state evaluation cross different disciplines. We found that ASP and #Cit are not aligned for most articles, with a growing mismatch amongst the less cited articles. While both metrics are reliable for evaluating the prestige of articles such as Nobel Prize winning articles, ASP tends to provide more persuasive rankings than #Cit when the articles are not highly cited. The journal grade, that is eventually determined by a few highly cited articles, is unable to properly reflect the scientific impact of individual articles. The number of references and coauthors are less relevant to scientific impact, but subjects do make a difference.  相似文献   

2.
We study the effects of an article featured on the cover of the journal Nature on citations to all articles published by its authors. Based on 30 years of bibliometric data, we find that cover articles are cited significantly more than non-cover articles, with this difference being long-lasting. However, when considering all articles (past and future) by Nature authors, we find that the publication of a cover article causes citations to previous articles by its authors to decline relative to citations to articles by non-cover authors.  相似文献   

3.
The number of received citations have been used as an indicator of the impact of academic publications. Developing tools to find papers that have the potential to become highly-cited has recently attracted increasing scientific attention. Topics of concern by scholars may change over time in accordance with research trends, resulting in changes in received citations. Author-defined keywords, title and abstract provide valuable information about a research article. This study performs a latent Dirichlet allocation technique to extract topics and keywords from articles; five keyword popularity (KP) features are defined as indicators of emerging trends of articles. Binary classification models are utilized to predict papers that were highly-cited or less highly-cited by a number of supervised learning techniques. We empirically compare KP features of articles with other commonly used journal-related and author-related features proposed in previous studies. The results show that, with KP features, the prediction models are more effective than those with journal and/or author features, especially in the management information system discipline.  相似文献   

4.
The citation counts are increasingly used to assess the impact on the scientific community of publications produced by a researcher, an institution or a country. There are many institutions that use bibliometric indicators to steer research policy and for hiring or promotion decisions. Given the importance that counting citations has today, the aim of the work presented here is to show how citations are distributed within a scientific area and determine the dependence of the citation count on the article features. All articles referenced in the Web of Science in 2004 for Biology & Biochemistry, Chemistry, Mathematics and Physics were considered.We show that the distribution of citations is well represented by a double exponential-Poisson law. There is a dependence of the mean citation rate on the number of co-authors, the number of addresses and the number of references, although this dependence is a little far from the linear behaviour. For the relation between the mean impact and the number of pages the dependence obtained was very low. For Biology & Biochemistry and Chemistry we found a linear behaviour between the mean citation per article and impact factor and for Mathematics and Physics the results obtained are near to the linear behaviour.  相似文献   

5.
We address issues concerning what one may learn from how citation instances are distributed in scientific articles. We visualize and analyze patterns of citation distributions in the full text of 350 articles published in the Journal of Informetrics. In particular, we visualize and analyze the distributions of citations in articles that are organized in a commonly seen four-section structure, namely, introduction, method, results, and conclusions (IMRC). We examine the locations of citations to the groundbreaking h-index paper by Hirsch in 2005 and how patterns associated with citation locations evolve over time. The results show that citations are highly concentrated in the first section of an article. The density of citations in the first section is about three times higher than that in subsequent sections. The distributions of citations to highly cited papers are even more uneven.  相似文献   

6.
Reliable methods for the assessment of research success are still in discussion. One method, which uses the likelihood of publishing very highly cited papers, has been validated in terms of Nobel prizes garnered. However, this method cannot be applied widely because it uses the fraction of publications in the upper tail of citation distribution that follows a power law, which includes a low number of publications in most countries and institutions. To achieve the same purpose without restrictions, we have developed the double rank analysis, in which publications that have a low number of citations are also included. By ranking publications by their number of citations from highest to lowest, publications from institutions or countries have two ranking numbers: one for their internal and another one for world positions; the internal ranking number can be expressed as a function of the world ranking number. In log–log double rank plots, a large number of publications fit a straight line; extrapolation allows estimating the likelihood of publishing the highest cited publication. The straight line derives from a power law behavior of the double rank that occurs because citations follow lognormal distributions with values of μ and σ that vary within narrow limits.  相似文献   

7.
Research on publication and citation patterns generally focuses on prolific or highly cited authors or on highly ranked programs. This study investigates the work and influence of a cross-section of library and information science (LIS) researchers at various stages of their academic lives, using a random sample of faculty members at programs accredited by the American Library Association. The analysis shows that the number of publications increases steadily as faculty rank advances. Assistant professors publish more conference papers and fewer journal articles, a pattern that is reversed with associate and full professors. Researchers used Web of Science® and Google™ Scholar to determine the influence of the publications. Web of Science reported no citations for most LIS faculty publications. With its broader scope, Google Scholar located more citations and revealed that the works of professors are cited significantly more frequently than publications by assistant or associate professors. When faculty profiles are compared by type of program, faculty members at schools granting doctoral degrees publish significantly more than their counterparts at schools where there is no doctoral program or where the doctoral degree is offered jointly with other academic units. When the comparison is made across ranks, full professors publish significantly more than faculty members at other ranks. There is no significant difference between assistant and associate professors.  相似文献   

8.
The aim of the study is to explore the effects of the increase in the number of publications or citations on several impact indicators by a single journal paper or citation. The possible change of the h-index, A-index, R-index, π-index, π-rate, Journal Paper Citedness (JPC), and Citation Distribution Score (CDS) is followed by models. Particular attention is given to the increase of the indices by a single plus citation. The results obtained by the “successively built-up indicator” model show that with increasing number of citations or self-citations the indices may increase substantially.  相似文献   

9.
This article analyzes the bibliometric features (the number of pages, completion years, the fields of subject, the number of citations, and their distribution by types of sources and years) of 100 theses and dissertations completed at the Department of Librarianship of Hacettepe University between 1974 and 2002. Almost a quarter (24%) of all dissertations were on university libraries, followed by public libraries (9%). Doctoral dissertations were, on average, twice as long as master's theses and contained 2.5 times more citations. Monographs received more citations (50%) than journal articles did (42%). Recently completed theses and dissertations contained more citations to electronic publications. Fourteen (or 3.2% of all) journal titles (including Türk Kütüphaneciliği, College & Research Libraries, and Journal of the American Society for Information Science) received almost half (48.9%) of all citations. Eighty percent of journal titles were cited infrequently. No correlation was found between the frequency of citations of the most frequently cited journals and their impact factors. Cited journal titles in master's and doctoral theses and dissertations overlapped significantly. Similarly, journal titles cited in dissertations also overlapped significantly with those that were cited in the journal articles published in the professional literature. The distribution of citations to foreign journal titles fit Bradford's Law of Scattering. The mean half-life of all cited sources was 9 years. Sources cited in master's dissertations were relatively more current. Single authorship was the norm in cited resources. Coupled with in-library use data, findings of the present study can be used to identify the core journal titles in librarianship as well as to evaluate the existing library collections to decide which journal titles to keep, discard, or relegate to off-site storage areas.  相似文献   

10.
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   

11.
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   

12.
A missing link in this study refers to a pair of patents whose relatedness is not manifested by one citing the other but implied by their strong bibliographic coupling. By analyzing empirical data, this study discovers that the occurrence of missing links is not coincidental but arises systematically; patent pairs with missing links usually have highly overlapped application processes, whereas those with direct citations more frequently have successive or less overlapped application processes. The missing links thus may capture relatedness between patents that direct citations fail to detect. By applying main path analysis to a network containing 34,083 patents, 155,076 citations, and 9,213 missing links designed to simulate direct citations, this study further finds that the missing links—accounting for only approximately 5% of all connections—identify patents embodying contemporaneous technological developments, which may evade detection if only direct citations are considered.  相似文献   

13.
以儿科、外科、内科、放射、口腔5个学科发文最多的10位专家为研究对象,对这些高产作者在中文期刊和SCI期刊发表论文的情况进行对比分析。数据显示:1)2000—2012年,本研究的目标作者在SCI收录期刊发表论文的数量低于万方数据库,国内科学领域主要的学术交流平台仍是中文期刊。2)目标作者在SCI收录期刊发表论文呈逐年上升趋势,而我国的中文期刊发表的论文,在2006年进入平台期,随后呈下降趋势。2012年,5个学科SCI论文与中文期刊论文篇数基本相等。3)目标作者的SCI论文的被引频次中37.96%为国内作者引用。4)与中国科技论文外流整体情况比较,医学优秀论文外流更为严重。  相似文献   

14.
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   

15.
In the double rank analysis of research publications, the local rank position of a country or institution publication is expressed as a function of the world rank position. Excluding some highly or lowly cited publications, the double rank plot fits well with a power law, which can be explained because citations for local and world publications follow lognormal distributions. We report here that the distribution of the number of country or institution publications in world percentiles is a double rank distribution that can be fitted to a power law. Only the data points in high percentiles deviate from it when the local and world μ parameters of the lognormal distributions are very different. The likelihood of publishing very highly cited papers can be calculated from the power law that can be fitted either to the upper tail of the citation distribution or to the percentile-based double rank distribution. The great advantage of the latter method is that it has universal application, because it is based on all publications and not just on highly cited publications. Furthermore, this method extends the application of the well-established percentile approach to very low percentiles where breakthroughs are reported but paper counts cannot be performed.  相似文献   

16.
Based on an idea by Kosmulski, Franceschini et al. (2012, Scientometrics 92(3), 621–641) propose to classify a publication as “successful” when it receives more citations than a specific comparison term (CT). In the intention of the authors CT should be a suitable estimate of the number of citations that a publication – in a certain scientific context and period of time – should potentially achieve. According to this definition, the success-index is defined as the number of successful papers, among a group of publications examined, such as those associated to a scientist or a journal. In the first part of the paper, the success-index is recalled, discussing its properties and limitations. Next, relying on the theory of Information Production Processes (IPPs), an informetric model of the index is formulated, for a better comprehension of the index and its properties. Particular emphasis is given to a theoretical sensitivity analysis of the index.  相似文献   

17.
We investigate the contributions of scientific software to library and information science (LIS) research using a sample of 572 English language articles published in 13 journals in 2008, 2011, 2014, and 2017. In particular, we examine the use and citation of software freely available for academic use in the LIS literature; we also explore the extent to which researchers follow software citation instructions provided by software developers. Twenty-seven percent of the LIS journal articles in our sample explicitly mention and use software. Yet although LIS researchers are becoming increasingly reliant on software that is freely available for academic use, many still fail to include formal citations of such software in their publications. We also find that a substantial proportion of researchers, when documenting software use, do not cite the software in the manner recommended by its developers.  相似文献   

18.
《Journal of Informetrics》2019,13(3):817-829
The number of publications and the number of citations received have become the most common indicators of scholarly success. In this context, scientific writing increasingly plays an important role in scholars’ scientific careers. To understand the relationship between scientific writing and scientific impact, this paper selected 12 variables of linguistic complexity as a proxy for depicting scientific writing. We then analyzed these features from 36,400 full-text Biology articles and 1,797 full-text Psychology articles. These features were compared to the scientific impact of articles, grouped into high, medium, and low categories. The results suggested no practical significant relationship between linguistic complexity and citation strata in either discipline. This suggests that textual complexity plays little role in scientific impact in our data sets.  相似文献   

19.
From the way that it was initially defined (Hirsch, 2005), the h-index naturally encourages focus on the most highly cited publications of an author and this in turn has led to (predominantly) a rank-based approach to its investigation. However, Hirsch (2005) and Burrell (2007a) both adopted a frequency-based approach leading to general conjectures regarding the relationship between the h-index and the author's publication and citation rates as well as his/her career length. Here we apply the distributional results of Burrell, 2007a, Burrell, 2013b to three published data sets to show that a good estimate of the h-index can often be obtained knowing only the number of publications and the number of citations. (Exceptions can occur when an author has one or more “outliers” in the upper tail of the citation distribution.) In other words, maybe the main body of the distribution determines the h-index, not the wild wagging of the tail. Furthermore, the simple geometric distribution turns out to be the key.  相似文献   

20.
In this article we examined the scholarly output and impact of 81 women scientist at the Graduate School of Biomedical Sciences at Mount Sinai. The group was divided into three career level sub-groups based on the first year of publication of each scientist. We examined the number of publications, citations, readership and social media attention per each group. Our findings show that although senior faculty have more publications and overall citations, junior faculty receive more citations and more readership per paper. We also found that different career level faculty members receive different social media mentions. Mid-career faculty see more tweets that mention their research while senior faculty get more likes, shares and clicks via Facebook.  相似文献   

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