2,792,420 research outputs found

    Getting Published in SoTL

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    Navigating the publication process can be confusing and frustrating if you don\u27t know what to expect. This session will outline and discuss successful approaches from manuscript generation to post-publication promotion of your work. We will explore how to identify potential dissemination venues, factors to consider when vetting a journal (readership, impact, access, etc.), editorial processes, and how to strategically get your message across to editors and viewers. From search engine optimization to graphical abstracts and social media, what steps can you take the get the most out of your publication? How can you navigate the failure points (growth opportunities) in the process? Tools, resources, and personal experiences will be shared

    Journal Citation Reports

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    This resource review provides a general overview of the content and features of Clarivate Analytics’s Journal Citation Reports (JCR). It explains impact factors and journal rankings, and how they are calculated and can be utilized

    Using Citation Data for Purchase Decisions: Analysing Citing Patterns and Journal Holdings at the Royal Institute of Technology

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    This paper describes how citation data can be used for identifying gaps in journal holdings and in that way form a foundation for acquisitions. Citation data was matched against e-journal holdings using Web of Science™ and export files from a central knowledge base. Data for three years (2010-2012) was used, in total from 6 246 publications containing 130 090 references to 5 216 journals. Furthermore, impact factors from Journal Citation Reports™ were added as well as information about publisher and if the journal was open access or not. The journals were also enriched with subject headings. The latter information was drawn from the database Ulrich’s web™. The output was divided according to which of the nine different schools of the institution the first author was affiliated to, each school being subject specific. (i.e.: Architecture, Biotechnology, Chemistry, Computer Science, Engineering) Analysis of citations to journals held or not held by the library formed an excellent foundation for future demand driven purchase decisions. Also, conclusions could be drawn about citing patterns to high impact journals, how open access journals were cited and which publishers were most highly cited. A specific analysis was performed within the life sciences as new research groups were demanding e-resources within subject areas not traditionally associated with a technological university. The data could confirm the accuracy of recent major investments as well as give support for future purchases. The data also shows how journal holdings in general match the different subject areas of the institution and in that way can provide a valuable basis for future budget discussions with the faculty

    Influential Article Review - "A" List International Competitiveness and Distribution

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    This paper examines journal research. We present insights from a highly influential paper. Here are the highlights from this paper: Focusing on the global diffusion of the “A” list consisting of predominantly U.S.-based journals, we argue that such diffusion represents an important form of professionalization in the management of business schools. The diffusion can also be viewed as an intellectual movement in the age of global competition characterized by a flat world. How can we explain the recent diffusion of the “A” list? More important, how does such diffusion impact the future of business and management scholarship? Addressing these important but underexplored questions, we identify the multilevel factors that explain the diffusion, and predict its likely trajectory and its impact on future scholarship. For our overseas readers, we then present the insights from this paper in Spanish, French, Portuguese, and German

    Where Should I Submit My Work for Publication? An Asymmetrical Classification Model to Optimize Choice

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    [EN] Choosing a journal to publish a work is a task that involves many variables. Usually, the authors' experience allows them to classify journals into categories, according to their suitability and the characteristics of the article. However, there are certain aspects in the choice that are probabilistic in nature, whose modelling may provide some help. Suppose an author has to choose a journal from a preference list to publish an article. The researcher is interested in publishing the paper in a journal with a rank number less than or equal to k. For this purpose, a simple classification model is presented in order to choose the best journal from the list, from which some fundamental consequences can be deduced and simple rules derived. For example, if the list contains 100 journals and is ordered using 2-year impact factor, the rule "send to the journal at the k - 10 position" is adequate.Ferrer Sapena, A.; Calabuig, JM.; García-Raffi, LM.; Sánchez Pérez, EA. (2020). Where Should I Submit My Work for Publication? An Asymmetrical Classification Model to Optimize Choice. Journal of Classification. 37:490-508. https://doi.org/10.1007/s00357-019-09331-7S49050837Althouse, B.M., West, J.D., Bergstrom, C.T., Bergstrom, T. (2009). Differences in impact factor across fields and over time. Journal of the Association for Information Science and Technology, 60(1), 27–34.Black, S. (2012). How much do core journals change over a decade? Library Resources and Technical Services, 56, 80–93.Bradshaw, C.J., & Brook, B.W. (2016). How to rank journals. PloS One, 11 (3), e0149852.Ferrer-Sapena, A., Diaz-Novillo, S., Sánchez-Pérez, E.A. (2017). Measuring time-dynamics and time-stability of Journal Rankings in Mathematics and Physics by Means of Fractional p-Variations. Publications, 5(3), 21.Ferrer-Sapena, A., Sánchez-Pérez, E.A., González, L.M., Peset, F., Aleixandre-Benavent, R. (2015). Mathematical properties of weighted impact factors based on measures of prestige of the citing journals. Scientometrics, 105(3), 2089–2108.Ferrer-Sapena, A., Sánchez-Pérez, E.A., González, L.M., Peset, F., Aleixandre-Benavent, R. (2016). The impact factor as a measuring tool of the prestige of the journals in research assessment in mathematics. Research Evaluation, 25(3), 306–314.Gastel, B., & Day, R.A. (2016). How to write and publish a scientific paper. Santa Barbara: ABC-CLIO.Gibbs, A. (2016). Improving publication: advice for busy higher education academics. International Journal for Academic Development, 21(3), 255–258.Grabisch, M.M., Marichal, J.L., Mesiar, R., Pap, E. (2009). Aggregation functions. Cambridge: Cambridge University Press.Haghdoost, A., Zare, M., Bazrafshan, A. (2014). How variable are the journal impact measures?. Online Information Review, 38, 723–737.Hol, E.M. (2013). Empirical studies on volatility in international stock markets. Berlin: Springer.Kelly, J.L. Jr. (2011). A new interpretation of information rate. Manuscript. Reprinted in: The Kelly capital growth investment criterion: theory and practice (pp. 25–34).Klement, E.P., Mesiar, R., Pap, E. (2000). Triangular norms. Dordrecht/Boston/London: Kluwer Academic Publishers.Klement, E.P., Mesiar, R., Pap, E. (2001). Uniform approximation of associative copulas by strict and non-strict copulas. Illinois Journal of Mathematics, 45 (4), 1393–1400.Lawrence, P.A. (2003). The politics of publication. Nature, 422(6929), 259–261.Lu, J., Wu, D., Mao, M., Wang, W., Zhang, G. (2015). Recommender system application developments: a survey. Decision Support Systems, 74, 12–32.Mansilla, R., Köppen, E., Cocho, G., Miramontes, P. (2007). On the behavior of journal impact factor rank-order distribution. Journal of Informetrics, 1, 155–160.Murtagh, F., Orlov, M., Mirkin, B. (2018). Qualitative judgement of research impact: Domain taxonomy as a fundamental framework for judgement of the quality of research. Journal of Classification, 35, 5–28.Neff, B.D., & Olden, J.D. (2010). Not so fast: inflation in impact factors contributes to apparent improvements in journal quality. BioScience, 60(6), 455–459.Nelsen, R.B. (1999). An introduction to copulas. New York: Springer.Pajić, D. (2015). On the stability of citation-based journal rankings. Journal of Informetric, 9, 990–1006.Shannon, C.E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27, 379–423. Reprinted in: ACM SIGMOBILE Mobile Computing and Communications Review, 5(1)(2001), 3-55.Xu, H., Martin, E., Mahidadia, A. (2014). Contents and time sensitive document ranking of scientific literature. Journal of Informetrics, 8, 546–561

    Impact of wind and solar production on electricity prices: Quantile regression approach

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    This is is an Accepted Manuscript of an article published by Taylor & Francis in Journal of the Operational Research Society on 5 August 2019, available online: http://www.tandfonline.com/10.1080/01605682.2019.1634783.We study the impact of fuel prices, emission allowances, demand, past prices, wind and solar production on hourly day-ahead electricity prices in Germany over the period from January 2015 until June 2018. Working within a linear regression, ARX-EGARCH and quantile regression framework we compare how different pricing factors influence the mean and quantiles of the electricity prices. Contrary to the existing literature, we find that short-term price fluctuations on the fuel markets and emission allowances have little effect on the electricity prices. We also find that day-of-the-week as well as monthly effects have significant impact on the electricity prices in Germany and should not be ignored in model specifications. Three main factors are found to drive extreme prices: price persistence, expected demand and expected wind production. Our findings contribute to understanding of extreme price movements, which can be used in pricing models and hedging strategies.acceptedVersio

    Predatory Publishing: How to Safely Navigate the Waters of Open Access.

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    Open access publishing enables scholarship to be openly accessible to everyone, which has countless benefits. However, the open access movement has opened the door for predatory publishers to take advantage of researchers surviving in this publish or perish academic landscape. Predatory journals are becoming increasingly common. Nursing researchers, instructors, and students need to be made aware of the dangers of predatory journals, and they need to know how to identify them. While there are blacklists and whitelists that can be used to aid in decision-making, it is critical to note that these lists can never be entirely up to date. This article incorporates a literature review which provides insights into newer trends in predatory and unethical publishing, including journal hijacking and bogus impact factors . Extensive criteria for assessing emerging or unknown journals is compiled to aid researchers, students, educators, and the public in evaluating open access publications

    The Segmentation, Targeting and Positioning Marketing Model applied to Scientific Health Research

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    Currently, in the scientific health research (SHR) field, there is a narrow focus in the pursuit of highly ranked journals with higher impact factors, based on citation models and journal ratings. This limitation often leads to undervalue the relevance of scientific studies by prioritizing citation impact. This limitation is a direct result of the funding needs inherent in the fields of natural sciences and engineering, where investments in equipment and infrastructures are considerably higher compared to other research areas. In the present article, the authors aimed to contribute to SHR by combining Marketing concepts, particularly the Segmentation, Targeting, and Positioning model (STP Marketing model), to the development of scientific research projects in the healthcare sector. By applying these concepts in research projects design and researchers career progression, a more comprehensive understanding can be achieved of how individuals or institutes are perceived. Furthermore, the implementation of effective STP Marketing strategies will enable researchers and institutes to gain a competitive advantage in the market by treating articles as products that require strategic positioning in a highly competitive environment. Ultimately, researchers should keep in mind that their ultimate audience is the journals audience they are targeting, as their objective is to publish in a journal that aligns with their specific goals
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