Search (6 results, page 1 of 1)

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Abstract

This article focuses on the process of scientific and scholarly communication. Data on open access publications on the Internet not only provides a supplement to the traditional citation indexes but also enables analysis of the microprocesses and daily practices that constitute scientific communication. This article focuses on a stage in the life cycle of scientific and scholarly information that precedes the publication of formal research articles in the scientific and scholarly literature. Binomial logistic regression models are used to analyse precise mechanisms at work in the transformation of a working paper (WP) into a journal article (JA) in the field of economics. The study unveils a fine-grained process of adapting WPs to their new context as JAs by deleting and adding literature references, which perhaps can be best captured by the term sculpting.

Date

22. 3.2009 18:59:25

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Date

20. 1.2015 18:30:22

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Abstract

The Leiden Ranking 2011/2012 is a ranking of universities based on bibliometric indicators of publication output, citation impact, and scientific collaboration. The ranking includes 500 major universities from 41 different countries. This paper provides an extensive discussion of the Leiden Ranking 2011/2012. The ranking is compared with other global university rankings, in particular the Academic Ranking of World Universities (commonly known as the Shanghai Ranking) and the Times Higher Education World University Rankings. The comparison focuses on the methodological choices underlying the different rankings. Also, a detailed description is offered of the data collection methodology of the Leiden Ranking 2011/2012 and of the indicators used in the ranking. Various innovations in the Leiden Ranking 2011/2012 are presented. These innovations include (1) an indicator based on counting a university's highly cited publications, (2) indicators based on fractional rather than full counting of collaborative publications, (3) the possibility of excluding non-English language publications, and (4) the use of stability intervals. Finally, some comments are made on the interpretation of the ranking and a number of limitations of the ranking are pointed out.

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Abstract

How do authors refer to Web-based information sources in their formal scientific publications? It is not yet weIl known how scientists and scholars actually include new types of information sources, available through the new media, in their published work. This article reports an a comparative study of the lists of references in 38 scientific journals in five different scientific and social scientific fields. The fields are sociology, library and information science, biochemistry and biotechnology, neuroscience, and the mathematics of computing. As is weIl known, references, citations, and hyperlinks play different roles in academic publishing and communication. Our study focuses an hyperlinks as attributes of references in formal scholarly publications. The study developed and applied a method to analyze the differential roles of publishing media in the analysis of scientific and scholarly literature references. The present secondary databases that include reference and citation data (the Web of Science) cannot be used for this type of research. By the automated processing and analysis of the full text of scientific and scholarly articles, we were able to extract the references and hyperlinks contained in these references in relation to other features of the scientific and scholarly literature. Our findings show that hyperlinking references are indeed, as expected, abundantly present in the formal literature. They also tend to cite more recent literature than the average reference. The large majority of the references are to Web instances of traditional scientific journals. Other types of Web-based information sources are less weIl represented in the lists of references, except in the case of pure e-journals. We conclude that this can be explained by taking the role of the publisher into account. Indeed, it seems that the shift from print-based to electronic publishing has created new roles for the publisher. By shaping the way scientific references are hyperlinking to other information sources, the publisher may have a large impact an the availability of scientific and scholarly information.

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Abstract

Currently, there exists little evidence concerning how various characteristics of research cultures are associated with patterns of use of electronic library resources. The present study addresses this gap by exploring how research-group membership, across-fields scattering of literature, and degree of establishment of research area are related to patterns of digital library use. The analytic dimensions are derived from Richard Whitley's ([1984]) theory of the social and intellectual organization of academic fields. The article represents a first attempt to operationalize Whitley's concepts in a large-scale study of e-resources use. The data used in the study were gathered in 2004 by the Finnish Electronic Library (FinElib) through a nationwide Web-based user questionnaire (N = 900). Membership in a research group significantly increased searching in journal databases, the importance of colleagues as sources of information about electronic articles and journals, and the use of alert services. A significant interaction effect was found between degree of across-fields scattering of relevant resources and degree of establishment of research fields. A high degree of across-fields scattering of relevant literature increased the number of journal databases used mainly in less established research areas whereas it influenced the use of journal databases less in established fields. This research contributes to our picture concerning the complex set of interacting factors influencing patterns of use of e-resources.

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Abstract

To provide some context for the potential engagement behavior of Twitter users around science, this article investigates how Bitly short links to scientific publications embedded in scholarly Twitter mentions are clicked on Twitter. Based on the click metrics of over 1.1 million Bitly short links referring to Web of Science (WoS) publications, our results show that around 49.5% of them were not clicked by Twitter users. For those Bitly short links with clicks from Twitter, the majority of their Twitter clicks accumulated within a short period of time after they were first tweeted. Bitly short links to the publications in the field of Social Sciences and Humanities tend to attract more clicks from Twitter over other subject fields. This article also assesses the extent to which Twitter clicks are correlated with some other impact indicators. Twitter clicks are weakly correlated with scholarly impact indicators (WoS citations and Mendeley readers), but moderately correlated to other Twitter engagement indicators (total retweets and total likes). In light of these results, we highlight the importance of paying more attention to the click metrics of URLs in scholarly Twitter mentions, to improve our understanding about the more effective dissemination and reception of science information on Twitter.