-
Li, J.; Shi, D.: Sleeping beauties in genius work : when were they awakened? (2016)
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- Date
- 22. 1.2016 14:13:32
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.432-440
-
Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016)
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- Date
- 22. 1.2016 14:40:53
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.480-482
-
Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016)
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- Abstract
- The aim of this paper is to develop methodology to determine conceptual overlap between research areas. It investigates patterns of terminology usage in scientific abstracts as boundary objects between research specialties. Research specialties were determined by high-level classifications assigned by Thomson Reuters in their Essential Science Indicators file, which provided a strictly hierarchical classification of journals into 22 categories. Results from the query "network theory" were downloaded from the Web of Science. From this file, two top-level groups, economics and social sciences, were selected and topically analyzed to provide a baseline of similarity on which to run an informetric analysis. The Places & Spaces Map of Science (Klavans and Boyack 2007) was used to determine the proximity of disciplines to one another in order to select the two disciplines use in the analysis. Groups analyzed share common theories and goals; however, groups used different language to describe their research. It was found that 61% of term words were shared between the two groups.
- Date
- 2. 9.2014 19:19:40
-
Moed, H.F.; Halevi, G.: On full text download and citation distributions in scientific-scholarly journals (2016)
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- Abstract
- A statistical analysis of full text downloads of articles in Elsevier's ScienceDirect covering all disciplines reveals large differences in download frequencies, their skewness, and their correlation with Scopus-based citation counts, between disciplines, journals, and document types. Download counts tend to be 2 orders of magnitude higher and less skewedly distributed than citations. A mathematical model based on the sum of two exponentials does not adequately capture monthly download counts. The degree of correlation at the article level within a journal is similar to that at the journal level in the discipline covered by that journal, suggesting that the differences between journals are, to a large extent, discipline specific. Despite the fact that in all studied journals download and citation counts per article positively correlate, little overlap may exist between the set of articles appearing in the top of the citation distribution and that with the most frequently downloaded ones. Usage and citation leaks, bulk downloading, differences between reader and author populations in a subject field, the type of document or its content, differences in obsolescence patterns between downloads and citations, and different functions of reading and citing in the research process all provide possible explanations of differences between download and citation distributions.
- Date
- 22. 1.2016 14:11:17
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.412-431
-
Nicholls, P.T.: Empirical validation of Lotka's law (1986)
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- Source
- Information processing and management. 22(1986), S.417-419
-
Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
-
Fiala, J.: Information flood : fiction and reality (1987)
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- Source
- Thermochimica acta. 110(1987), S.11-22
-
Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007)
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- Abstract
- Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
-
Ball, R.: Wissenschaftsindikatoren im Zeitalter digitaler Wissenschaft (2007)
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- Date
- 23.12.2007 19:22:21
- Source
- B.I.T.online. 10(2007) H.2, S.xxx-xxx
-
Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008)
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- Date
- 22. 6.2008 12:54:12
- Source
- Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.2, S.14-20
-
Zitt, M.; Lelu, A.; Bassecoulard, E.: Hybrid citation-word representations in science mapping : Portolan charts of research fields? (2011)
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- Abstract
- The mapping of scientific fields, based on principles established in the seventies, has recently shown a remarkable development and applications are now booming with progress in computing efficiency. We examine here the convergence of two thematic mapping approaches, citation-based and word-based, which rely on quite different sociological backgrounds. A corpus in the nanoscience field was broken down into research themes, using the same clustering technique on the 2 networks separately. The tool for comparison is the table of intersections of the M clusters (here M=50) built on either side. A classical visual exploitation of such contingency tables is based on correspondence analysis. We investigate a rearrangement of the intersection table (block modeling), resulting in pseudo-map. The interest of this representation for confronting the two breakdowns is discussed. The amount of convergence found is, in our view, a strong argument in favor of the reliability of bibliometric mapping. However, the outcomes are not convergent at the degree where they can be substituted for each other. Differences highlight the complementarity between approaches based on different networks. In contrast with the strong informetric posture found in recent literature, where lexical and citation markers are considered as miscible tokens, the framework proposed here does not mix the two elements at an early stage, in compliance with their contrasted logic.
- Date
- 8. 1.2011 18:22:50
-
Leydesdorff, L.; Bornmann, L.: How fractional counting of citations affects the impact factor : normalization in terms of differences in citation potentials among fields of science (2011)
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- Date
- 22. 1.2011 12:51:07
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.217-229
-
Liu, D.-R.; Shih, M.-J.: Hybrid-patent classification based on patent-network analysis (2011)
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- Date
- 22. 1.2011 13:04:21
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.246-256
-
Stvilia, B.; Hinnant, C.C.; Schindler, K.; Worrall, A.; Burnett, G.; Burnett, K.; Kazmer, M.M.; Marty, P.F.: Composition of scientific teams and publication productivity at a national science lab (2011)
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- Date
- 22. 1.2011 13:19:42
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.270-283
-
Kuan, C.-H.; Liu, J.S.: ¬A new approach for main path analysis : decay in knowledge diffusion (2016)
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- Date
- 22. 1.2016 14:23:00
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.465-476
-
Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? (2017)
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- Source
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Castanha, R.C.G.; Wolfram, D.: ¬The domain of knowledge organization : a bibliometric analysis of prolific authors and their intellectual space (2018)
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- Knowledge organization. 45(2018) no.1, S.13-22
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Wang, S.; Ma, Y.; Mao, J.; Bai, Y.; Liang, Z.; Li, G.: Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities : On the rise of scrape-and-report scholarship in online reviews research (2023)
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- Date
- 22. 1.2023 18:37:33
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- Journal of the Association for Information Science and Technology. 74(2023) no.2, S.150-167
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Bookstein, A.: Informetric distributions : I. Unified overview (1990)
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Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990)
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