-
Falkingham, L.T.; Reeves, R.: Context analysis : a technique for analysing research in a field, applied to literature on the management of R&D at the section level (1998)
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- Date
- 22. 5.1999 19:18:46
- Source
- Scientometrics. 42(1998) no.2, S.97-120
-
White, H.D.: Pathfinder networks and author cocitation analysis : a remapping of paradigmatic information scientists (2003)
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- Abstract
- In their 1998 article "Visualizing a discipline: An author cocitation analysis of information science, 1972-1995," White and McCain used multidimensional scaling, hierarchical clustering, and factor analysis to display the specialty groupings of 120 highly-cited ("paradigmatic") information scientists. These statistical techniques are traditional in author cocitation analysis (ACA). It is shown here that a newer technique, Pathfinder Networks (PFNETs), has considerable advantages for ACA. In PFNETs, nodes represent authors, and explicit links represent weighted paths between nodes, the weights in this case being cocitation counts. The links can be drawn to exclude all but the single highest counts for author pairs, which reduces a network of authors to only the most salient relationships. When these are mapped, dominant authors can be defined as those with relatively many links to other authors (i.e., high degree centrality). Links between authors and dominant authors define specialties, and links between dominant authors connect specialties into a discipline. Maps are made with one rather than several computer routines and in one rather than many computer passes. Also, PFNETs can, and should, be generated from matrices of raw counts rather than Pearson correlations, which removes a computational step associated with traditional ACA. White and McCain's raw data from 1998 are remapped as a PFNET. It is shown that the specialty groupings correspond closely to those seen in the factor analysis of the 1998 article. Because PFNETs are fast to compute, they are used in AuthorLink, a new Web-based system that creates live interfaces for cocited author retrieval an the fly.
- Date
- 29. 3.2003 19:55:24
-
White, H.D.; McCain, K.W.: Visualizing a discipline : an author co-citation analysis of information science, 1972-1995 (1998)
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- Abstract
- Presents an extensive domain analysis of information science in terms of its authors. Names of those most frequently cited in 12 key journals from 1972 through 1995 were retrieved from Social SciSearch via Dialog. The top 120 were submitted to author co-citation analyzes, yielding automatic classifications relevant to histories of the field
-
Forde, J.L.: ¬An international survey of reading and library use by Nobel laureates (1997)
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- Source
- Libri. 47(1997) no.2, S.114-120
-
Calster, B. Van: It takes time : a remarkable example of delayed recognition (2012)
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- Abstract
- The way in which scientific publications are picked up by the research community can vary. Some articles become instantly cited, whereas others go unnoticed for some time before they are discovered or rediscovered. Papers with delayed recognition have also been labeled "sleeping beauties." I briefly discuss an extreme case of a sleeping beauty. Peirce's short note in Science in 1884 shows a remarkable increase in citations since around 2000. The note received less than 1 citation per year in the decades prior to 2000, 3.5 citations per year in the 2000s, and 10.4 in the 2010s. This increase was seen in several domains, most notably meteorology, medical prediction research, and economics. The paper outlines formulas to evaluate a binary prediction system for a binary outcome. This citation increase in various domains may be attributed to a widespread, growing research focus on mathematical prediction systems and the evaluation thereof. Several recently suggested evaluation measures essentially reinvented or extended Peirce's 120-year-old ideas.
-
Bookstein, A.: Informetric distributions : I. Unified overview (1990)
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- Date
- 22. 7.2006 18:55:29
-
Cabanac, G.; Labbé, C.: Prevalence of nonsensical algorithmically generated papers in the scientific literature (2021)
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- Abstract
- In 2014 leading publishers withdrew more than 120 nonsensical publications automatically generated with the SCIgen program. Casual observations suggested that similar problematic papers are still published and sold, without follow-up retractions. No systematic screening has been performed and the prevalence of such nonsensical publications in the scientific literature is unknown. Our contribution is 2-fold. First, we designed a detector that combs the scientific literature for grammar-based computer-generated papers. Applied to SCIgen, it has a 83.6% precision. Second, we performed a scientometric study of the 243 detected SCIgen-papers from 19 publishers. We estimate the prevalence of SCIgen-papers to be 75 per million papers in Information and Computing Sciences. Only 19% of the 243 problematic papers were dealt with: formal retraction (12) or silent removal (34). Publishers still serve and sometimes sell the remaining 197 papers without any caveat. We found evidence of citation manipulation via edited SCIgen bibliographies. This work reveals metric gaming up to the point of absurdity: fraudsters publish nonsensical algorithmically generated papers featuring genuine references. It stresses the need to screen papers for nonsense before peer-review and chase citation manipulation in published papers. Overall, this is yet another illustration of the harmful effects of the pressure to publish or perish.
-
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
-
Neth, M.: Citation analysis and the Web (1998)
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- Date
- 10. 1.1999 16:22:37
- Source
- Art documentation. 17(1998) no.1, S.29-33
-
Burrell, Q.L.: Predicting future citation behavior (2003)
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- Date
- 29. 3.2003 19:22:48
-
Haycock, L.A.: Citation analysis of education dissertations for collection development (2004)
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- Date
- 10. 9.2000 17:38:22
17.12.2006 19:44:29
-
Huang, M.-H.; Huang, W.-T.; Chang, C.-C.; Chen, D. Z.; Lin, C.-P.: The greater scattering phenomenon beyond Bradford's law in patent citation (2014)
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- Date
- 22. 8.2014 17:11:29
-
Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020)
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- Abstract
- Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.
- Date
- 20. 1.2015 18:30:22
-
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
-
Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998)
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- 22. 5.1999 19:22:35
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Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
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Khurshid, A.; Sahai, H.: Bibliometric, scientometric and informetric distributions and laws : a selected bibliography (1991)
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- Source
- International forum on information and documentation. 16(1991) no.2, S.18-29
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Diodato, V.: Dictionary of bibliometrics (1994)
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- Footnote
- Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
