17 research outputs found

    Identifying the Invisible Impact of Scholarly Publications: A Multi-Disciplinary Analysis Using Altmetrics

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    A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.The field of ‘altmetrics’ is concerned with alternative metrics for the impact of research publications using social web data. Empirical studies are needed, however, to assess the validity of altmetrics from different perspectives. This thesis partly fills this gap by exploring the suitability and reliability of two altmetrics resources: Mendeley, a social reference manager website, and Faculty of F1000 (F1000), a post- publishing peer review platform. This thesis explores the correlations between the new metrics and citations at the level of articles for several disciplines and investigates the contexts in which the new metrics can be useful for research evaluation across different fields. Low and medium correlations were found between Mendeley readership counts and citations for Social Sciences, Humanities, Medicine, Physics, Chemistry and Engineering articles from the Web of Science (WoS), suggesting that Mendeley data may reflect different aspects of research impact. A comparison between information flows based on Mendeley bookmarking data and cross-disciplinary citation analysis for social sciences and humanities disciplines revealed substantial similarities and some differences. This suggests that Mendeley readership data could be used to help identify knowledge transfer between scientific disciplines, especially for people that read but do not author articles, as well as providing evidence of impact at an earlier stage than is possible with citation counts. The majority of Mendeley readers for Clinical Medicine, Engineering and Technology, Social Science, Physics and Chemistry papers were PhD students and postdocs. The highest correlations between citations and Mendeley readership counts were for types of Mendeley users that often authored academic papers, suggesting that academics bookmark papers in Mendeley for reasons related to scientific publishing. In order to identify the extent to which Mendeley bookmarking counts reflect readership and to establish the motivations for bookmarking scientific papers in Mendeley, a large-scale survey found that 83% of Mendeley users read more than half of the papers in their personal libraries. The main reasons for bookmarking papers were citing in future publications, using in professional activities, citing in a thesis, and using in teaching and assignments. Thus, Mendeley bookmarking counts can potentially indicate the readership impact of research papers that have educational value for non-author users inside academia or the impact of research papers on practice for readers outside academia. This thesis also examines the relationship between article types (i.e., “New Finding”, “Confirmation”, “Clinical Trial”, “Technical Advance”, “Changes to Clinical Practice”, “Review”, “Refutation”, “Novel Drug Target”), citation counts and F1000 article factors (FFa). In seven out of nine cases, there were no significant differences between article types in terms of rankings based on citation counts and the F1000 Article Factor (FFa) scores. Nevertheless, citation counts and FFa scores were significantly different for articles tagged: “New finding” or “Changes to Clinical Practice”. This means that F1000 could be used in research evaluation exercises when the importance of practical findings needs to be recognised. Furthermore, since the majority of the studied articles were reviewed in their year of publication, F1000 could also be useful for quick evaluations

    Congress UPV Proceedings of the 21ST International Conference on Science and Technology Indicators

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    This is the book of proceedings of the 21st Science and Technology Indicators Conference that took place in València (Spain) from 14th to 16th of September 2016. The conference theme for this year, ‘Peripheries, frontiers and beyond’ aimed to study the development and use of Science, Technology and Innovation indicators in spaces that have not been the focus of current indicator development, for example, in the Global South, or the Social Sciences and Humanities. The exploration to the margins and beyond proposed by the theme has brought to the STI Conference an interesting array of new contributors from a variety of fields and geographies. This year’s conference had a record 382 registered participants from 40 different countries, including 23 European, 9 American, 4 Asia-Pacific, 4 Africa and Near East. About 26% of participants came from outside of Europe. There were also many participants (17%) from organisations outside academia including governments (8%), businesses (5%), foundations (2%) and international organisations (2%). This is particularly important in a field that is practice-oriented. The chapters of the proceedings attest to the breadth of issues discussed. Infrastructure, benchmarking and use of innovation indicators, societal impact and mission oriented-research, mobility and careers, social sciences and the humanities, participation and culture, gender, and altmetrics, among others. We hope that the diversity of this Conference has fostered productive dialogues and synergistic ideas and made a contribution, small as it may be, to the development and use of indicators that, being more inclusive, will foster a more inclusive and fair world

    Study on open science: The general state of the play in Open Science principles and practices at European life sciences institutes

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    Nowadays, open science is a hot topic on all levels and also is one of the priorities of the European Research Area. Components that are commonly associated with open science are open access, open data, open methodology, open source, open peer review, open science policies and citizen science. Open science may a great potential to connect and influence the practices of researchers, funding institutions and the public. In this paper, we evaluate the level of openness based on public surveys at four European life sciences institute

    Clemson Catalog, 2010-2011, Volume 85

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    https://tigerprints.clemson.edu/clemson_catalog/1160/thumbnail.jp

    Research Data Management Practices And Impacts on Long-term Data Sustainability: An Institutional Exploration

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    With the \u27data deluge\u27 leading to an institutionalized research environment for data management, U.S. academic faculty have increasingly faced pressure to deposit research data into open online data repositories, which, in turn, is engendering a new set of practices to adapt formal mandates to local circumstances. When these practices involve reorganizing workflows to align the goals of local and institutional stakeholders, we might call them \u27data articulations.\u27 This dissertation uses interviews to establish a grounded understanding of the data articulations behind deposit in 3 studies: (1) a phenomenological study of genomics faculty data management practices; (2) a grounded theory study developing a theory of data deposit as articulation work in genomics; and (3) a comparative case study of genomics and social science researchers to identify factors associated with the institutionalization of research data management (RDM). The findings of this research offer an in-depth understanding of the data management and deposit practices of academic research faculty, and surfaced institutional factors associated with data deposit. Additionally, the studies led to a theoretical framework of data deposit to open research data repositories. The empirical insights into the impacts of institutionalization of RDM and data deposit on long-term data sustainability update our knowledge of the impacts of increasing guidelines for RDM. The work also contributes to the body of data management literature through the development of the data articulation framework which can be applied and further validated by future work. In terms of practice, the studies offer recommendations for data policymakers, data repositories, and researchers on defining strategies and initiatives to leverage data reuse and employ computational approaches to support data management and deposit

    Geographic information extraction from texts

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    A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction

    General Catalog 1972-1974

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    General Catalog of 1972-1974 Contains course descriptions, University college calendar, and college administration.https://digitalcommons.usu.edu/universitycatalogs/1133/thumbnail.jp
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