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Small, H.; Sweeney, E.: Clustering the Science Citation Index using co-citations (1985)
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- Scientometrics. 7(1985), S.391-409
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Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013)
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- Content
- Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
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Garfield, E.; Paris, S.W.; Stock, W.G.: HistCite(TM) : a software tool for informetric analysis of citation linkage (2006)
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- Abstract
- HistCite(TM) is a software tool for analyzing and visualizing direct citation linkages between scientific papers. Its inputs are bibliographic records (with cited references) from "Web of Knowledge" or other sources. Its outputs are various tables and graphs with informetric indicators about the knowledge domain under study. As an example we analyze informetrically the literature about Alexius Meinong, an Austrian philosopher and psychologist. The article shortly discusses the informetric functionality of "Web of Knowledge" and shows broadly the possibilities that HistCite offers to its users (e.g. scientists, scientometricans and science journalists).
- Source
- Information - Wissenschaft und Praxis. 57(2006) H.8, S.391-400
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Gooch, D.; Vasalou, A.; Benton, L.: Impact in interdisciplinary and cross-sector research : opportunities and challenges (2017)
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- Abstract
- Impact is embedded in today's research culture, with increasing importance being placed on the value of research to society. In interdisciplinary and cross-sector projects, team members may hold distinct views on the types of impact they want to create. Set in the context of an interdisciplinary, cross-sector project comprised of partners from academia, industry, and the nonprofit sector, our paper unpacks how these diverse project members understand impact. Our analysis shows that interdisciplinary projects offer a unique opportunity to create impact on a number of different levels. Moreover, it demonstrates that a lack of accountable design and collaboration practices can potentially hinder pathways to impact. Finally, we find that the interdisciplinary perspectives that such projects introduce encourage a rich gamut of sustainable outcomes that go beyond commercialization. Our findings support researchers working in these complex contexts to appreciate the opportunities and challenges involved in interdisciplinary cross-sector research contexts while imparting them with strategies for overcoming these challenges.
- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.2, S.378-391
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- a
-
Shema, H.; Bar-Ilan, J.; Thelwall, M.: How is research blogged? : A content analysis approach (2015)
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- Abstract
- Blogs that cite academic articles have emerged as a potential source of alternative impact metrics for the visibility of the blogged articles. Nevertheless, to evaluate more fully the value of blog citations, it is necessary to investigate whether research blogs focus on particular types of articles or give new perspectives on scientific discourse. Therefore, we studied the characteristics of peer-reviewed references in blogs and the typical content of blog posts to gain insight into bloggers' motivations. The sample consisted of 391 blog posts from 2010 to 2012 in Researchblogging.org's health category. The bloggers mostly cited recent research articles or reviews from top multidisciplinary and general medical journals. Using content analysis methods, we created a general classification scheme for blog post content with 10 major topic categories, each with several subcategories. The results suggest that health research bloggers rarely self-cite and that the vast majority of their blog posts (90%) include a general discussion of the issue covered in the article, with more than one quarter providing health-related advice based on the article(s) covered. These factors suggest a genuine attempt to engage with a wider, nonacademic audience. Nevertheless, almost 30% of the posts included some criticism of the issues being discussed.
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- a
-
Naidoo, J.; Huber, J.T.; Cupp, P.; Wu, Q.: Modeling the relationship between an emerging infectious disease epidemic and the body of scientific literature associated with it : the case of HIV/AIDS in the United States (2013)
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- Abstract
- This study undertook an exploratory analysis of the relationship between the body of scientific literature associated with HIV/AIDS and the trajectory of the epidemic, measured by the rate of new cases diagnosed annually in the United States for the period covering 1981 to 2009. The body of scientific literature examined in this investigation was constituted from scientific research that developed alongside the epidemic and was extracted from MEDLINE, a bibliographic database of the United States. National Library of Medicine. Content analysis methods were employed for qualitative data reduction, and regression analysis was used to assess whether variation in the trajectory of the epidemic co-occurred with variation in the publication of specific genres of content within the scientific literature relating to HIV/AIDS. The regression model confirmed a statistically significant association between the representative body of HIV/AIDS scientific literature and the epidemic trajectory, and identified three research categories, namely, ameliorative drug treatments, other clinical protocols, and health education, as being most significantly associated with the epidemic trajectory. Implicit in the findings of this study are areas of scientific research that are of functional and practical interest to clinicians, policy makers, the lay public, and contributors to the body of scientific literature.
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.380-391
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- a
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Nicholls, P.T.: Empirical validation of Lotka's law (1986)
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- Information processing and management. 22(1986), S.417-419
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- a
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Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
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- a
-
Fiala, J.: Information flood : fiction and reality (1987)
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- Source
- Thermochimica acta. 110(1987), S.11-22
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- a
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Bookstein, A.: Informetric distributions : I. Unified overview (1990)
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- Date
- 22. 7.2006 18:55:29
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- a
-
Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990)
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- Date
- 22. 7.2006 18:55:55
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Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998)
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- Abstract
- Derives a 'literature variable exponential growth model' from Price's literature growth model. The research shows that the new model is more convincing than the former ones. Gives detailed calculation procedure, examples, parameter values and mean square errors
- Date
- 22. 5.1999 19:22:35
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- a
-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- 22. 7.2006 15:22:28
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Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005)
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- 20. 1.2007 17:02:22
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Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014)
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- Date
- 18. 3.2014 19:13:22
- Type
- a
-
Pichappan, P.; Sangaranachiyar, S.: Ageing approach to scientific eponyms (1996)
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- Abstract
- There is a decrease in the incidence of explicit references to a paper over time, hence the assumption that information ages. In a study which attempts to discover whether information really ages it is necessary to include eponyms, anonyms and footnote references. Reports a pilot study which demonstrates that there is an increase over time in the frequency of use of eponyms
- Footnote
- Report presented at the 16th National Indian Association of Special Libraries and Information Centres Seminar Special Interest Group Meeting on Informatrics in Bombay, 19-22 Dec 94
- Type
- a
-
Vieira, E.S.; Cabral, J.A.S.; Gomes, J.A.N.F.: Definition of a model based on bibliometric indicators for assessing applicants to academic positions (2014)
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- Abstract
- A model based on a set of bibliometric indicators is proposed for the prediction of the ranking of applicants to an academic position as produced by a committee of peers. The results show that a very small number of indicators may lead to a robust prediction of about 75% of the cases. We start with 12 indicators to build a few composite indicators by factor analysis. Following a discrete choice model, we arrive at 3 comparatively good predicative models. We conclude that these models have a surprisingly good predictive power and may help peers in their selection process.
- Date
- 18. 3.2014 18:22:21
- Type
- a
-
Raan, A.F.J. van: Statistical properties of bibliometric indicators : research group indicator distributions and correlations (2006)
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- Abstract
- In this article we present an empirical approach to the study of the statistical properties of bibliometric indicators on a very relevant but not simply available aggregation level: the research group. We focus on the distribution functions of a coherent set of indicators that are used frequently in the analysis of research performance. In this sense, the coherent set of indicators acts as a measuring instrument. Better insight into the statistical properties of a measuring instrument is necessary to enable assessment of the instrument itself. The most basic distribution in bibliometric analysis is the distribution of citations over publications, and this distribution is very skewed. Nevertheless, we clearly observe the working of the central limit theorem and find that at the level of research groups the distribution functions of the main indicators, particularly the journal- normalized and the field-normalized indicators, approach normal distributions. The results of our study underline the importance of the idea of group oeuvre, that is, the role of sets of related publications as a unit of analysis.
- Date
- 22. 7.2006 16:20:22
- Type
- a
-
Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014)
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- Abstract
- Properties of a percentile-based rating scale needed in bibliometrics are formulated. Based on these properties, P100 was recently introduced as a new citation-rank approach (Bornmann, Leydesdorff, & Wang, 2013). In this paper, we conceptualize P100 and propose an improvement which we call P100'. Advantages and disadvantages of citation-rank indicators are noted.
- Date
- 22. 8.2014 17:05:18
- Type
- a
-
Ohly, P.: Dimensions of globality : a bibliometric analysis (2016)
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- Date
- 20. 1.2019 11:22:31
- Source
- Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
- Type
- a
