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Wakeling, S.; Creaser, C.; Pinfield, S.; Fry, J.; Spezi, V.; Willett, P.; Paramita, M.: Motivations, understandings, and experiences of open-access mega-journal authors : results of a large-scale survey (2019)
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- Abstract
- Open-access mega-journals (OAMJs) are characterized by their large scale, wide scope, open-access (OA) business model, and "soundness-only" peer review. The last of these controversially discounts the novelty, significance, and relevance of submitted articles and assesses only their "soundness." This article reports the results of an international survey of authors (n = 11,883), comparing the responses of OAMJ authors with those of other OA and subscription journals, and drawing comparisons between different OAMJs. Strikingly, OAMJ authors showed a low understanding of soundness-only peer review: two-thirds believed OAMJs took into account novelty, significance, and relevance, although there were marked geographical variations. Author satisfaction with OAMJs, however, was high, with more than 80% of OAMJ authors saying they would publish again in the same journal, although there were variations by title, and levels were slightly lower than subscription journals (over 90%). Their reasons for choosing to publish in OAMJs included a wide variety of factors, not significantly different from reasons given by authors of other journals, with the most important including the quality of the journal and quality of peer review. About half of OAMJ articles had been submitted elsewhere before submission to the OAMJ with some evidence of a "cascade" of articles between journals from the same publisher.
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Artymiuk, P.J.; Spriggs, R.V.; Willett, P.: Graph theoretic methods for the analysis of structural relationships in biological macromolecules (2005)
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- Date
- 22. 7.2006 14:40:10
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Li, X.; Cox, A.; Ford, N.; Creaser, C.; Fry, J.; Willett, P.: Knowledge construction by users : a content analysis framework and a knowledge construction process model for virtual product user communities (2017)
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- Abstract
- Purpose The purpose of this paper is to develop a content analysis framework and from that derive a process model of knowledge construction in the context of virtual product user communities, organization sponsored online forums where product users collaboratively construct knowledge to solve their technical problems. Design/methodology/approach The study is based on a deductive and qualitative content analysis of discussion threads about solving technical problems selected from a series of virtual product user communities. Data are complemented with thematic analysis of interviews with forum members. Findings The research develops a content analysis framework for knowledge construction. It is based on a combination of existing codes derived from frameworks developed for computer-supported collaborative learning and new categories identified from the data. Analysis using this framework allows the authors to propose a knowledge construction process model showing how these elements are organized around a typical "trial and error" knowledge construction strategy. Practical implications The research makes suggestions about organizations' management of knowledge activities in virtual product user communities, including moderators' roles in facilitation. Originality/value The paper outlines a new framework for analysing knowledge activities where there is a low level of critical thinking and a model of knowledge construction by trial and error. The new framework and model can be applied in other similar contexts.
- Language
- e
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Griffiths, A.; Robinson, L.A.; Willett, P.: Hierarchic agglomerative clustering methods for automatic document classification (1984)
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Willett, P.: Recent trends in hierarchic document clustering : a critical review (1988)
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Al-Hawamdeh, S.; Smith, G.; Willett, P.: Paragraph-based access to full-text documents using a hypertext system (1991)
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Griffiths, A.; Luckhurst, H.C.; Willett, P.: Using interdocument similarity information in document retrieval systems (1986)
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Perry, R.; Willett, P.: ¬A revies of the use of inverted files for best match searching in information retrieval systems (1983)
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Ekmekcioglu, F.C.; Willett, P.: Effectiveness of stemming for Turkish text retrieval (2000)
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Willett, P.; Robertson, S.: In memoriam: Karen Sparck Jones (2007)
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Willett, P.: Best-match text retrieval (1993)
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Al-Hawamdeh, S.; Smith, G.; Willett, P.; Vere, R. de: Using nearest-neighbour searching techniques to access full-text documents (1991)
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Shaw, R.J.; Willett, P.: On the non-random nature of nearest-neighbour document clusters (1993)
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Jones, G.; Robertson, A.M.; Willett, P.: ¬An introduction to genetic algorithms and to their use in information retrieval (1994)
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Robertson, A.M.; Willett, P.: Identification of word-variants in historical text databases : report for the period October 1990 to September 1992 (1994)
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Furner-Hines, J.; Willett, P.: ¬The use of hypertext in libraries in the United Kingdom (1994)
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Robertson, A.M.; Willett, P.: Use of genetic algorithms in information retrieval (1995)
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Ingwersen, P.; Willett, P.: ¬An introduction to algorithmic and cognitive approaches for information retrieval (1995)
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Robertson, M.; Willett, P.: ¬An upperbound to the performance of ranked output searching : optimal weighting of query terms using a genetic algorithms (1996)
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Clarke, S.J.; Willett, P.: Estimating the recall performance of Web search engines (1997)
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