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Bookstein, A.: Informetric distributions : I. Unified overview (1990)
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- Date
- 22. 7.2006 18:55:29
- Source
- Journal of the American Society for Information Science. 41(1990) no.5, S.368-375
-
Ohly, P.: Dimensions of globality : a bibliometric analysis (2016)
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- Date
- 20. 1.2019 11:22:31
- Pages
- S.460-468
- 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
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.5, S.372-378
-
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
- Source
- Library resources and technical services. 48(2004) no.2, S.102-106
-
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
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1917-1928
-
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
- Source
- Aslib journal of information management. 72(2020) no.6, S.945-962
-
Nicholls, P.T.: Empirical validation of Lotka's law (1986)
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- Source
- Information processing and management. 22(1986), S.417-419
-
Fiala, J.: Information flood : fiction and reality (1987)
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- Source
- Thermochimica acta. 110(1987), S.11-22
-
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)
- Pages
- 185 S
-
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
-
Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990)
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- Date
- 22. 7.2006 18:55:55
- Source
- Journal of the American Society for Information Science. 41(1990) no.5, S.376-386
-
Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998)
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Bornmann, L.: On the function of university rankings (2014)
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Ding, Y.: Scholarly communication and bibliometrics : Part 1: The scholarly communication model: literature review (1998)
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