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Thelwall, M.: Web indicators for research evaluation : a practical guide (2016)
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- Abstract
- In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
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Sud, P.; Thelwall, M.: Not all international collaboration is beneficial : the Mendeley readership and citation impact of biochemical research collaboration (2016)
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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.
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.8, S.1849-1857
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Thelwall, M.; Sud, P.: ¬A comparison of methods for collecting web citation data for academic organizations (2011)
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- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1488-1497
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Thelwall, M.; Sud, P.; Vis, F.: Commenting on YouTube videos : From guatemalan rock to El Big Bang (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.3, S.616-629
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Wilkinson, D.; Thelwall, M.: Trending Twitter topics in English : an international comparison (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.8, S.1631-1646
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Larivière, V.; Sugimoto, C.R.; Macaluso, B.; Milojevi´c, S.; Cronin, B.; Thelwall, M.: arXiv E-prints and the journal of record : an analysis of roles and relationships (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1157-1169
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Kousha, K.; Thelwall, M.: Disseminating research with web CV hyperlinks (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1615-1626
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Shema, H.; Bar-Ilan, J.; Thelwall, M.: How is research blogged? : A content analysis approach (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1136-1149
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Mohammadi, E.; Thelwall, M.; Kousha, K.: Can Mendeley bookmarks reflect readership? : a survey of user motivations (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1198-1209
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Thelwall, M.; Wilson, P.: Does research with statistics have more impact? : the citation rank advantage of structural equation modeling (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1233-1244
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Thelwall, M.; Goriunova, O.; Vis, F.; Faulkner, S.; Burns, A.; Aulich, J.; Mas-Bleda, A.; Stuart, E.; D'Orazio, F.: Chatting through pictures : a classification of images tweeted in one week in the UK and USA (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2575-2586
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Kousha, K.; Thelwall, M.: Patent citation analysis with Google (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.1, S.48-61
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Kousha, K.; Thelwall, M.: Are wikipedia citations important evidence of the impact of scholarly articles and books? (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.3, S.762-779
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Maflahi, N.; Thelwall, M.: How quickly do publications get read? : the evolution of mendeley reader counts for new articles (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.1, S.158-167
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Thelwall, M.; Levitt, J.M.: National scientific performance evolution patterns : retrenchment, successful expansion, or overextension (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.5, S.720-727
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Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? (2017)
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- Date
- 20. 1.2015 18:30:22
