-
Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014)
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- Date
- 22. 8.2014 17:12:35
-
Kronegger, L.; Mali, F.; Ferligoj, A.; Doreian, P.: Classifying scientific disciplines in Slovenia : a study of the evolution of collaboration structures (2015)
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- Date
- 21. 1.2015 14:55:22
-
Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018)
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- Date
- 28. 7.2018 10:00:22
-
Bartolucci, F.: On a possible decomposition of the h-index. (2012)
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-
Freistetter, F.: Warum jeder (fast) jeden kennt (2017)
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-
Haustein, S.: Scientific interactions and research evaluation : from bibliometrics to Altmetrics (2015)
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- Source
- Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
-
Lewandowski, D.; Haustein, S.: What does the German-language information science community cite? (2015)
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- Source
- Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
-
Ye, F.Y.: ¬A theoretical approach to the unification of informetric models by wave-heat equations (2011)
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- Abstract
- A simple distribution function f(x, t)=p(x+q)**-ße**alpha*t obeys wave and heat equations, that constructs a theoretical approach to the unification of informetric models, with which we can unify all informetric laws. While its space-type distributions deduce naturally Lotka-type laws in size approaches and Zipf-type laws in rank approaches, its time-type distributions introduce the mechanism of Price-type and Brookes-type laws.
-
Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: Science mapping software tools : review, analysis, and cooperative study among tools (2011)
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-
Bartolucci, F.: ¬A comparison between the g-index and the h-index based on concentration (2015)
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-
Biagetti, M.T.; Iacono, A.; Trombone, A.: Testing library catalog analysis as a bibliometric indicator for research evaluation in social sciences and humanities (2018)
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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
-
Botting, N.; Dipper, L.; Hilari, K.: ¬The effect of social media promotion on academic article uptake (2017)
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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.
-
Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F.: SciMAT: A new science mapping analysis software tool (2012)
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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
-
Aksnes, D.W.; Rorstad, K.; Piro, F.; Sivertsen, G.: Are female researchers less cited? : a large-scale study of Norwegian scientists (2011)
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-
Abramo, G.; D'Angelo, C.A.; Viel, F.: ¬A robust benchmark for the h- and g-indexes (2010)
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-
Chen, C.; Ibekwe-SanJuan, F.; Hou, J.: ¬The structure and dynamics of cocitation clusters : a multiple-perspective cocitation analysis (2010)
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-
Leydesdorff, L.; Opthof, T.: Scopus's source normalized impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations (2010)
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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).
-
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)
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Jonkers, K.; Moya Anegon, F. de; Aguillo, I.F.: Measuring the usage of e-research infrastructure as an indicator of research activity (2012)
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