955 resultados para scientific journal
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Intensive Case Management (ICM) is widely claimed to be an evidence-based and cost effective program for people with high levels of disability as a result of mental illness. However, the findings of recent randomized controlled trials comparing ICM with 'usual services' suggest that both clinical and cost effectiveness of ICM may be weakening. Possible reasons for this, including fidelity of implementation, researcher allegiance effects and changes in the wider service environment within which ICM is provided, are considered. The implications for service delivery and research are discussed.
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Provides a forum for philosophical and social scientific enquiry that incorporates the work of scholars from a variety of disciplines who share a concern with the production, assessment and validation of knowledge.
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It is still debatable whether scientific diversity is a virtue or a disadvantage for the development of a discipline. Nonetheless, diversity among scientists with respect to their journal quality perceptions plays an important role in hiring and promotion decisions. In this article we examine the degree of diversity within economics based on the journal quality perceptions of 2,103 AEA economists worldwide. Specifically, we empirically test for factors that might explain differences in an economist's journal quality perceptions. These factors include an economist's geographic origin, school of thought, journal affiliation, field of specialization and research orientation. Indeed, we find that a significant degree of diversity in journal quality perceptions exists between economists that belong in different subgroups. These results might explain the frequent debates in tenure and promotion committees where journal standings are used for the evaluation of a researcher's output.
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A journal of pharmacy education and practice is an international scientific open access journal on pharmacy education and practice, and is published by MDPI online quarterly. The practice of pharmacy is changing at an unprecedented rate as the profession moves from a focus upon preparation and supply of medicines to a clinical patient-facing role. While an understanding of the science related to medicines remains core to pharmacy education, the changes in practice are driving changes to the traditional methods of pharmacy education. This is reflected at an international level by major changes in the educational standards set by statutory regulators and by policy statements from bodies such as the World Health Organisation. These changes reflect an increasing trend to look at educational policy at a supra-national level, typified by the “Pharmine Project” led by the Association of European Faculties of Pharmacy.
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Purpose - The purpose of this paper is to assess high-dimensional visualisation, combined with pattern matching, as an approach to observing dynamic changes in the ways people tweet about science topics. Design/methodology/approach - The high-dimensional visualisation approach was applied to three scientific topics to test its effectiveness for longitudinal analysis of message framing on Twitter over two disjoint periods in time. The paper uses coding frames to drive categorisation and visual analytics of tweets discussing the science topics. Findings - The findings point to the potential of this mixed methods approach, as it allows sufficiently high sensitivity to recognise and support the analysis of non-trending as well as trending topics on Twitter. Research limitations/implications - Three topics are studied and these illustrate a range of frames, but results may not be representative of all scientific topics. Social implications - Funding bodies increasingly encourage scientists to participate in public engagement. As social media provides an avenue actively utilised for public communication, understanding the nature of the dialog on this medium is important for the scientific community and the public at large. Originality/value - This study differs from standard approaches to the analysis of microblog data, which tend to focus on machine driven analysis large-scale datasets. It provides evidence that this approach enables practical and effective analysis of the content of midsize to large collections of microposts.
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It is important to help researchers find valuable papers from a large literature collection. To this end, many graph-based ranking algorithms have been proposed. However, most of these algorithms suffer from the problem of ranking bias. Ranking bias hurts the usefulness of a ranking algorithm because it returns a ranking list with an undesirable time distribution. This paper is a focused study on how to alleviate ranking bias by leveraging the heterogeneous network structure of the literature collection. We propose a new graph-based ranking algorithm, MutualRank, that integrates mutual reinforcement relationships among networks of papers, researchers, and venues to achieve a more synthetic, accurate, and less-biased ranking than previous methods. MutualRank provides a unified model that involves both intra- and inter-network information for ranking papers, researchers, and venues simultaneously. We use the ACL Anthology Network as the benchmark data set and construct the gold standard from computer linguistics course websites of well-known universities and two well-known textbooks. The experimental results show that MutualRank greatly outperforms the state-of-the-art competitors, including PageRank, HITS, CoRank, Future Rank, and P-Rank, in ranking papers in both improving ranking effectiveness and alleviating ranking bias. Rankings of researchers and venues by MutualRank are also quite reasonable.
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In recent decades, spillover has become a highly influential concept which has led to the initiation of new theoretical and methodological approaches that are designed to understand how people attempt to reconcile their work and private lives. The very notion of spillover presupposes that these spheres are connected, since the people who move between them bring certain ‘less visible’ content with them such as cognitive or affective mental constructs, skills, behaviors, etc. This paper attempts to create fresh insight into the different areas, themes and methodologies related to how spillover has been addressed over the last ten years. Four main categories are discussed based on the 76 academic articles that were selected: (1) general spillover research, (2) job flexibility and spillover, (3) individual coping strategies, and (4) the spillover effect on the different genders. The final section of the paper provides a tentative synthesis of the main conclusions and findings from the examined papers.
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28 pages, 6 figures; version submitted to Proceedings of the National Academy of Sciences
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28 pages, 6 figures; version submitted to Proceedings of the National Academy of Sciences
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Peer reviewed
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Salman, M. et al. (2016). Integrating Scientific Publication into an Applied Gaming Ecosystem. GSTF Journal on Computing (JoC), Volume 5 (Issue 1), pp. 45-51.
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Journal impact factors have become an important criterion to judge the quality of scientific publications over the years, influencing the evaluation of institutions and individual researchers worldwide. However, they are also subject to a number of criticisms. Here we point out that the calculation of a journal’s impact factor is mainly based on the date of publication of its articles in print form, despite the fact that most journals now make their articles available online before that date. We analyze 61 neuroscience journals and show that delays between online and print publication of articles increased steadily over the last decade. Importantly, such a practice varies widely among journals, as some of them have no delays, while for others this period is longer than a year. Using a modified impact factor based on online rather than print publication dates, we demonstrate that online-to-print delays can artificially raise a journal’s impact factor, and that this inflation is greater for longer publication lags. We also show that correcting the effect of publication delay on impact factors changes journal rankings based on this metric. We thus suggest that indexing of articles in citation databases and calculation of citation metrics should be based on the date of an article’s online appearance, rather than on that of its publication in print.