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Content

Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.

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Abstract

We investigate the contributions of particular disciplines, countries, and academic departments to the literature of library and information science (LIS) using data for the articles published in 31 journals from 2007 to 2012. In particular, we examine the contributions of authors outside the United States, the United Kingdom, and Canada; faculty in departments other than LIS; and practicing librarians. Worldwide, faculty in LIS departments account for 31% of the journal literature; librarians, 23%; computer science faculty, 10%; and management faculty, 10%. The top contributing nations are the United States, the United Kingdom, Spain, China, Canada, and Taiwan. Within the United States and the United Kingdom, the current productivity of LIS departments is correlated with past productivity and with other measures of reputation and performance. More generally, the distribution of contributions is highly skewed. In the United States, five departments account for 27% of the articles contributed by LIS faculty; in the United Kingdom, four departments account for nearly two-thirds of the articles. This skewed distribution reinforces the possibility that high-status departments may gain a permanent advantage in the competition for students, faculty, journal space, and research funding. At the same time, concentrations of research-active faculty in particular departments may generate beneficial spillover effects.

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Abstract

Multivariate linear regression models suggest a trade-off in allocations of national research and development (R&D). Government funding and spending in the higher education sector encourage publications as a long-term research benefit. Conversely, other components such as industrial funding and spending in the business sector encourage patenting. Our results help explain why the United States trails the European Union in publications: The focus in the United States is on industrial funding-some 70% of its total R&D investment. Likewise, our results also help explain why the European Union trails the United States in patenting, since its focus on government funding is less effective than industrial funding in predicting triadic patenting. Government funding contributes negatively to patenting in a multiple regression, and this relationship is significant in the case of triadic patenting. We provide new forecasts about the relationships of the United States, the European Union, and China for publishing; these results suggest much later dates for changes than previous forecasts because Chinese growth has been slowing down since 2003. Models for individual countries might be more successful than regression models whose parameters are averaged over a set of countries because nations can be expected to differ historically in terms of the institutional arrangements and funding schemes.

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Abstract

Some 1,857 highly cited reviews, namely those cited at least 1,000 times since publication to 2011, were identified using the data hosted on the Science Citation Index ExpandedT database (Thomson Reuters, New York, NY) between 1899 and 2011. The data are disaggregated by publication date, citation counts, journals, Web of Science® (Thomson Reuters) subject areas, citation life cycles, and publications by Nobel Prize winners. Six indicators, total publications, independent publications, collaborative publications, first-author publications, corresponding-author publications, and single-author publications were applied to evaluate publication of institutions and countries. Among the highly cited reviews, 33% were single-author, 61% were single-institution, and 83% were single-country reviews. The United States ranked top for all 6 indicators. The G7 (United States, United Kingdom, Germany, Canada, France, Japan, and Italy) countries were the site of almost all the highly cited reviews. The top 12 most productive institutions were all located in the United States with Harvard University (Cambridge, MA) the leader. The top 3 most productive journals were Chemical Reviews, Nature, and the Annual Review of Biochemistry. In addition, the impact of the reviews was analyzed by total citations from publication to 2011, citations in 2011, and citation in publication year.

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Abstract

This study undertook an exploratory analysis of the relationship between the body of scientific literature associated with HIV/AIDS and the trajectory of the epidemic, measured by the rate of new cases diagnosed annually in the United States for the period covering 1981 to 2009. The body of scientific literature examined in this investigation was constituted from scientific research that developed alongside the epidemic and was extracted from MEDLINE, a bibliographic database of the United States. National Library of Medicine. Content analysis methods were employed for qualitative data reduction, and regression analysis was used to assess whether variation in the trajectory of the epidemic co-occurred with variation in the publication of specific genres of content within the scientific literature relating to HIV/AIDS. The regression model confirmed a statistically significant association between the representative body of HIV/AIDS scientific literature and the epidemic trajectory, and identified three research categories, namely, ameliorative drug treatments, other clinical protocols, and health education, as being most significantly associated with the epidemic trajectory. Implicit in the findings of this study are areas of scientific research that are of functional and practical interest to clinicians, policy makers, the lay public, and contributors to the body of scientific literature.

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Abstract

International coauthorship relations have increasingly shaped another dynamic in the natural and life sciences during recent decades. However, much less is known about such internationalization in the social sciences. In this study, we analyze international and domestic coauthorship relations of all citable items in the DVD version of the Social Sciences Citation Index 2011 (SSCI). Network statistics indicate 4 groups of nations: (a) an Asian-Pacific one to which all Anglo-Saxon nations (including the United Kingdom and Ireland) are attributed, (b) a continental European one including also the Latin-American countries, (c) the Scandinavian nations, and (d) a community of African nations. Within the EU-28, 11 of the EU-15 states have dominant positions. In many respects, the network parameters are not so different from the Science Citation Index. In addition to these descriptive statistics, we address the question of the relative weights of the international versus domestic networks. An information-theoretical test is proposed at the level of organizational addresses within each nation; the results are mixed, but the international dimension is more important than the national one in the aggregated sets (as in the Science Citation Index). In some countries (e.g., France), however, the national distribution is leading more than the international one. Decomposition of the United States in terms of states shows a similarly mixed result; more U.S. states are domestically oriented in the SSCI and more internationally in the SCI. The international networks have grown during the last decades in addition to the national ones but not by replacing them.

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Abstract

Scientific progress is driven by important, infrequent discoveries that cannot be readily identified and quantified, which makes research assessment very difficult. Bibliometric indicators of important discoveries have been formulated using an empirical approach, based on the mathematical properties of the high-citation tail of the citation distribution. To investigate the theoretical basis of such formulations this study compares the US/European research performance ratios expressed in terms of highly cited papers and Nobel Prize-winning discoveries. The research performance ratio in terms of papers was studied from the citation distributions in the fields of chemistry, physics, and biochemistry and molecular biology. It varied as a function of the citation level. Selecting an appropriate high citation level, the ratios in terms of highly cited papers were compared with the corresponding ratios for Nobel Prize-winning discoveries in Chemistry, Physics, and Physiology or Medicine. Research performance ratios expressed in terms of highly cited papers and Nobel Prize-winning discoveries are reasonably similar, and suggest that the research success of the United States is almost 3 times that of Europe. A similar conclusion was obtained using articles published in Nature and Science.

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Abstract

Generally, multicountry papers receive more citations than single-country ones. In this contribution, we examine if this rule also applies to American scientists publishing in highly visible interdisciplinary journals. Concretely, we compare the citations received by American scientists in Nature, Science, and the Proceedings of the National Academy of Sciences of the United States of America (PNAS). It is shown that, statistically, American scientists publishing in Nature and Science do not benefit from international collaboration. This statement also holds for communicated submissions, but not for direct and for contributed submissions, to PNAS.

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Abstract

We analyze the benefits in terms of scientific impact deriving from international collaboration, examining both those for a country when it collaborates and also those for the other countries when they are collaborating with the former. The data show the more countries there are involved in the collaboration, the greater the gain in impact. Contrary to what we expected, the scientific impact of a country does not significantly influence the benefit it derives from collaboration, but does seem to positively influence the benefit obtained by the other countries collaborating with it. Although there was a weak correlation between these two classes of benefit, the countries with the highest impact were clear outliers from this correlation, tending to provide proportionally more benefit to their collaborating countries than they themselves obtained. Two surprising findings were the null benefit resulting from collaboration with Iran, and the small benefit resulting from collaboration with the United States despite its high impact.

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Abstract

This article provides an overview of studies that have used citation analysis in the field of humanities in the period 1951 to 2010. The work is based on an exhaustive search in databases-particularly those in library and information science-and on citation chaining from papers on citation analysis. The results confirm that use of this technique in the humanities is limited, and although there was some growth in the 1970s and 1980s, it has stagnated in the past 2 decades. Most of the work has been done by research staff, but almost one third involves library staff, and 15% has been done by students. The study also showed that less than one fourth of the works used a citation database such as the Arts & Humanities Citation Index and that 21% of the works were in publications other than library and information science journals. The United States has the greatest output, and English is by far the most frequently used language, and 13.9% of the studies are in other languages.

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Abstract

Using data from the Web of Science (WoS), we analyze the mutual information among university, industry, and government addresses (U-I-G) at the country level for a number of countries. The dynamic evolution of the Triple Helix can thus be compared among developed and developing nations in terms of cross-sectional coauthorship relations. The results show that the Triple Helix interactions among the three subsystems U-I-G become less intensive over time, but unequally for different countries. We suggest that globalization erodes local Triple Helix relations and thus can be expected to have increased differentiation in national systems since the mid-1990s. This effect of globalization is more pronounced in developed countries than in developing ones. In the dynamic analysis, we focus on a more detailed comparison between China and the United States. Specifically, the Chinese Academy of the (Social) Sciences is changing increasingly from a public research institute to an academic one, and this has a measurable effect on China's position in the globalization.

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Abstract

Previous analyses identified research on environmental tobacco smoke to be subject to strong fluctuations as measured by both quantitative and qualitative indicators. The evolution of search algorithms (based on the Web of Science and Web of Knowledge database platforms) was used to show the impact of errors of omission and commission in the outcomes of scientometric research. Optimization of the search algorithm led to the complete reassessment of previously published findings on the performance of environmental tobacco smoke research. Instead of strong continuous growth, the field of environmental tobacco smoke research was shown to experience stagnation or slow growth since mid-1990s when evaluated quantitatively. Qualitative analysis revealed steady but slow increase in the citation rate and decrease in uncitedness. Country analysis revealed the North-European countries as leaders in environmental tobacco smoke research (when the normalized results were evaluated both quantitatively and qualitatively), whereas the United States ranked first only when assessing the total number of papers produced. Scientometric research artifacts, including both errors of omission and commission, were shown to be capable of completely obscuring the real output of the chosen research field.

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Abstract

Previous studies of international scientific collaboration have rarely gone beyond revealing the structural relationships between countries. Considering how scientific collaboration is actually initiated, this study focuses on the organization and sector levels of international coauthorship networks, going beyond a country-level description. Based on a network analysis of coauthorship networks between members of the Organisation for Economic Cooperation and Development (OECD), this study attempts to gain a better understanding of international scientific collaboration by exploring the structure of the coauthorship network in terms of university-industry-government (UIG) relationships, the mode of knowledge production, and the underlying dynamic of collaboration in terms of geographic, linguistic, and economic factors. The results suggest that the United States showed overwhelming dominance in all bilateral UIG combinations with the exception of the government-government (GG) network. Scientific collaboration within the industry sector was concentrated in a few players, whereas that between the university and industry sectors was relatively less concentrated. Despite the growing participation from other sectors, universities were still the main locus of knowledge production, with the exception of 5 countries. The university sector in English-speaking wealthy countries and the government sector of non-English-speaking, less-wealthy countries played a key role in international collaborations between OECD countries. The findings did not provide evidence supporting the institutional proximity argument.

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Abstract

Whereas traditional science maps emphasize citation statistics and static relationships, this paper presents a term-based method to identify and visualize the evolutionary pathways of scientific topics in a series of time slices. First, we create a data preprocessing model for accurate term cleaning, consolidating, and clustering. Then we construct a simulated data streaming function and introduce a learning process to train a relationship identification function to adapt to changing environments in real time, where relationships of topic evolution, fusion, death, and novelty are identified. The main result of the method is a map of scientific evolutionary pathways. The visual routines provide a way to indicate the interactions among scientific subjects and a version in a series of time slices helps further illustrate such evolutionary pathways in detail. The detailed outline offers sufficient statistical information to delve into scientific topics and routines and then helps address meaningful insights with the assistance of expert knowledge. This empirical study focuses on scientific proposals granted by the United States National Science Foundation, and demonstrates the feasibility and reliability. Our method could be widely applied to a range of science, technology, and innovation policy research, and offer insight into the evolutionary pathways of scientific activities.

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Abstract

This study aims to identify the way researchers collaborate with other researchers in the course of the scientific research life cycle and provide information to the designers of e-Science and e-Research implementations. On the basis of in-depth interviews with and on-site observations of 24 scientists and a follow-up focus group interview in the field of bioscience/nanoscience and technology in Korea, we examined scientific collaboration using the framework of the scientific research life cycle. We attempt to explain the major motiBiochemistry is a highly funded research area that is typified by large research teams and is important for many areas of the life sciences. This article investigates the citation impact and Mendeley readership impact of biochemistry research from 2011 in the Web of Science according to the type of collaboration involved. Negative binomial regression models are used that incorporate, for the first time, the inclusion of specific countries within a team. The results show that, holding other factors constant, larger teams robustly associate with higher impact research, but including additional departments has no effect and adding extra institutions tends to reduce the impact of research. Although international collaboration is apparently not advantageous in general, collaboration with the United States, and perhaps also with some other countries, seems to increase impact. In contrast, collaborations with some other nations seems to decrease impact, although both findings could be due to factors such as differing national proportions of excellent researchers. As a methodological implication, simpler statistical models would find international collaboration to be generally beneficial and so it is important to take into account specific countries when examining collaboration.t only in the beginning phase of the cycle. For communication and information-sharing practices, scientists continue to favor traditional means of communication for security reasons. Barriers to collaboration throughout the phases included different priorities, competitive tensions, and a hierarchical culture among collaborators, whereas credit sharing was a barrier in the research product phase.

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Abstract

This article introduces a new source of evidence of the value of medical-related research: citations from clinical guidelines. These give evidence that research findings have been used to inform the day-to-day practice of medical staff. To identify whether citations from guidelines can give different information from that of traditional citation counts, this article assesses the extent to which references in clinical guidelines tend to be highly cited in the academic literature and highly read in Mendeley. Using evidence from the United Kingdom, references associated with the UK's National Institute of Health and Clinical Excellence (NICE) guidelines tended to be substantially more cited than comparable articles, unless they had been published in the most recent 3 years. Citation counts also seemed to be stronger indicators than Mendeley readership altmetrics. Hence, although presence in guidelines may be particularly useful to highlight the contributions of recently published articles, for older articles citation counts may already be sufficient to recognize their contributions to health in society.

Date

19. 3.2016 12:22:00

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Abstract

Using information theory, we measure innovation systemness as synergy among size-classes, ZIP Codes, and technological classes (NACE-codes) for 8.5 million American companies. The synergy at the national level is decomposed at the level of states, Core-Based Statistical Areas (CBSA), and Combined Statistical Areas (CSA). We zoom in to the state of California and in more detail to Silicon Valley. Our results do not support the assumption of a national system of innovations in the U.S.A. Innovation systems appear to operate at the level of the states; the CBSA are too small, so that systemness spills across their borders. Decomposition of the sample in terms of high-tech manufacturing (HTM), medium-high-tech manufacturing (MHTM), knowledge-intensive services (KIS), and high-tech services (HTKIS) does not change this pattern, but refines it. The East Coast-New Jersey, Boston, and New York-and California are the major players, with Texas a third one in the case of HTKIS. Chicago and industrial centers in the Midwest also contribute synergy. Within California, Los Angeles contributes synergy in the sectors of manufacturing, the San Francisco area in KIS. KIS in Silicon Valley and the Bay Area-a CSA composed of seven CBSA-spill over to other regions and even globally.

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Abstract

Naranan's important theorem, published in Nature in 1970, states that if the number of journals grows exponentially and if the number of articles in each journal grows exponentially (at the same rate for each journal), then the system satisfies Lotka's law and a formula for the Lotka's exponent is given in function of the growth rates of the journals and the articles. This brief communication re-proves this result by showing that the system satisfies Zipf's law, which is equivalent with Lotka's law. The proof is short and algebraic and does not use infinitesimal arguments.

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Abstract

This study combines Web usage mining, Web link analysis, and bibliometric methods for analyzing research activities in research organizations. It uses visits to the Expert Protein Analysis System (ExPASy) server-a virtual research infrastructure for bioinformatics-as a proxy for measuring bioinformatic research activity. The study finds that in the United Kingdom (UK), Germany, and Spain the number of visits to the ExPASy Web server made by research organizations is significantly positively correlated with research output in the field of biochemistry, molecular biology, and genetics. Only in the UK do we find a significant positive correlation between ExPASy visits per publication and the normalized impact of an organization's publications. The type of indicator developed in this study can be used to measure research activity in fields in which e-research has become important. In addition, it can be used for the evaluation of e-research infrastructures.

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Abstract

This article1 describes the possibilities to analyze open access (OA) publishing in the Netherlands in an international comparative way. OA publishing is now actively stimulated by Dutch science policy, similar to the United Kingdom. We conducted a bibliometric baseline measurement to assess the current situation, to be able to measure developments over time. We collected data from various sources, and for three different smaller European countries (the Netherlands, Denmark, and Switzerland). Not all of the analyses for this baseline measurement are included here. The analysis presented in this article focuses on the various ways OA can be defined using the Web of Science, limiting the analysis mainly to Gold OA. From the data we collected we can conclude that the way OA is currently registered in various electronic bibliographic databases is quite unclear, and various methods applied deliver results that are different, although the impact scores derived from the data point in the same direction.