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  1. Biagetti, M.T.; Iacono, A.; Trombone, A.: Testing library catalog analysis as a bibliometric indicator for research evaluation in social sciences and humanities (2018) 0.02
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  2. Botting, N.; Dipper, L.; Hilari, K.: ¬The effect of social media promotion on academic article uptake (2017) 0.02
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    Abstract
    Important emerging measures of academic impact are article download and citation rates. Yet little is known about the influences on these and ways in which academics might manage this approach to dissemination. Three groups of papers by academics in a center for speech-language-science (available through a university repository) were compared. The first group of target papers were blogged, and the blogs were systematically tweeted. The second group of connected control papers were nonblogged papers that we carefully matched for author, topic, and year of publication. The third group were papers by different staff members on a variety of topics-Unrelated Control Papers. The results suggest an effect of social media on download rate, which was limited not just to Target Papers but also generalized to Connected Control Papers. Unrelated Control Papers showed no increase over the same amount of time (main effect of time, F(1,27)?=?55.6, p?<?.001); Significant Group×Time Interaction, F(2,27)?=?7.9, p?=?.002). The effect on citation rates was less clear but followed the same trend. The only predictor of the 2015 citation rate was downloads after blogging (r?=?0.450, p?=?.012). These preliminary results suggest that promotion of academic articles via social media may enhance download and citation rate and that this has implications for impact strategies.
  3. Faba-Pérez, C.; Guerrero-Bote, V.P.; Moya-Anegón, F.: "Sitation" distributions and Bradford's law in a closed Web space (2003) 0.02
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  4. Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: SciMAT: A new science mapping analysis software tool (2012) 0.02
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  5. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.02
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    Source
    Information processing and management. 22(1986), S.417-419
  6. Nicolaisen, J.: Citation analysis (2007) 0.02
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    Date
    13. 7.2008 19:53:22
  7. Fiala, J.: Information flood : fiction and reality (1987) 0.02
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    Source
    Thermochimica acta. 110(1987), S.11-22
  8. Aksnes, D.W.; Rorstad, K.; Piro, F.; Sivertsen, G.: Are female researchers less cited? : a large-scale study of Norwegian scientists (2011) 0.02
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  9. Zitt, M.; Perrot, F.; Barré, R.: ¬The transition from 'national' to 'transnational' model and related measures of countries' performance (1998) 0.02
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  10. Menczer, F.: Lexical and semantic clustering by Web links (2004) 0.02
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  11. Huang, X.; Peng, F,; An, A.; Schuurmans, D.: Dynamic Web log session identification with statistical language models (2004) 0.02
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  12. Janssens, F.; Leta, J.; Glänzel, W.; Moor, B. de: Towards mapping library and information science (2006) 0.02
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  13. Luna-Morales, M.E.; Collazo-Reyes, F.; Russell, J.M.; Ángel Pérez-Angón, M.A.: Early patterns of scientific production by Mexican researchers in mainstream journals, 1900-1950 (2009) 0.02
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  14. Abramo, G.; D'Angelo, C.A.; Viel, F.: ¬A robust benchmark for the h- and g-indexes (2010) 0.02
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  15. Chen, C.; Ibekwe-SanJuan, F.; Hou, J.: ¬The structure and dynamics of cocitation clusters : a multiple-perspective cocitation analysis (2010) 0.02
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  16. Leydesdorff, L.; Opthof, T.: Scopus's source normalized impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations (2010) 0.02
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    Abstract
    Impact factors (and similar measures such as the Scimago Journal Rankings) suffer from two problems: (a) citation behavior varies among fields of science and, therefore, leads to systematic differences, and (b) there are no statistics to inform us whether differences are significant. The recently introduced "source normalized impact per paper" indicator of Scopus tries to remedy the first of these two problems, but a number of normalization decisions are involved, which makes it impossible to test for significance. Using fractional counting of citations-based on the assumption that impact is proportionate to the number of references in the citing documents-citations can be contextualized at the paper level and aggregated impacts of sets can be tested for their significance. It can be shown that the weighted impact of Annals of Mathematics (0.247) is not so much lower than that of Molecular Cell (0.386) despite a five-f old difference between their impact factors (2.793 and 13.156, respectively).
  17. Lancho Barrantes, B.S.; Guerrero Bote, V.P.; Chinchilla Rodríguez, Z.; Moya Anegón, F. de: Citation flows in the zones of influence of scientific collaborations (2012) 0.02
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  18. Jonkers, K.; Moya Anegon, F. de; Aguillo, I.F.: Measuring the usage of e-research infrastructure as an indicator of research activity (2012) 0.02
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  19. Abramo, G.; D'Angelo, C.A.; Costa, F. Di: Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications (2012) 0.02
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  20. Guerrero Bote, V.P.; Olmeda-Gómez, C.; Moya-Anegón, F. de: Quantifying the benefits of international scientific collaboration (2013) 0.02
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