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Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Do altmetric scores reflect article quality? : evidence from the UK Research Excellence Framework 2021 (2023)
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Thelwall, M.; Kousha, K.; Stuart, E.; Makita, M.; Abdoli, M.; Wilson, P.; Levitt, J.: In which fields are citations indicators of research quality? (2023)
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Thelwall, M.: Bibliometrics to webometrics (2009)
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Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005)
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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.
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Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004)
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Thelwall, M.: ¬A comparison of sources of links for academic Web impact factor calculations (2002)
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Thelwall, M.: Interpreting social science link analysis research : a theoretical framework (2006)
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Thelwall, M.; Klitkou, A.; Verbeek, A.; Stuart, D.; Vincent, C.: Policy-relevant Webometrics for individual scientific fields (2010)
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Didegah, F.; Thelwall, M.: Determinants of research citation impact in nanoscience and nanotechnology (2013)
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Shema, H.; Bar-Ilan, J.; Thelwall, M.: Do blog citations correlate with a higher number of future citations? : Research blogs as a potential source for alternative metrics (2014)
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Maflahi, N.; Thelwall, M.: When are readership counts as useful as citation counts? : Scopus versus Mendeley for LIS journals (2016)
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Kousha, K.; Thelwall, M.: Can Amazon.com reviews help to assess the wider impacts of books? (2016)
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Thelwall, M.: Mendeley readership altmetrics for medical articles : an analysis of 45 fields (2016)
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Thelwall, M.; Foster, D.: Male or female gender-polarized YouTube videos are less viewed (2021)
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Thelwall, M.: Extracting macroscopic information from Web links (2001)
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Thelwall, M.: Conceptualizing documentation on the Web : an evaluation of different heuristic-based models for counting links between university Web sites (2002)
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Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003)
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Thelwall, M.; Harries, G.: Do the Web Sites of Higher Rated Scholars Have Significantly More Online Impact? (2004)
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Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004)
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