Are the discretised lognormal and hooked power law distributions plausible for citation data?
暂无分享,去创建一个
[1] L. A. Goodman,et al. Kolmogorov-Smirnov tests for psychological research. , 1954, Psychological bulletin.
[2] Vincent Larivière,et al. Modeling a century of citation distributions , 2008, J. Informetrics.
[3] Henk F. Moed,et al. Coverage and citation impact of oncological journals in the Web of Science and Scopus , 2008, J. Informetrics.
[4] Elizabeth S. Vieira,et al. Citations to scientific articles: Its distribution and dependence on the article features , 2010, J. Informetrics.
[5] Paul Wilson,et al. The misuse of the Vuong test for non-nested models to test for zero-inflation , 2015 .
[6] Santo Fortunato,et al. Characterizing and Modeling Citation Dynamics , 2011, PloS one.
[7] Mike Thelwall,et al. The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach , 2015, J. Informetrics.
[8] Antonio Perianes-Rodríguez,et al. Differences in citation impact across countries , 2015, J. Assoc. Inf. Sci. Technol..
[9] Michel Zitt,et al. The journal impact factor: angel, devil, or scapegoat? A comment on J.K. Vanclay’s article 2011 , 2012, Scientometrics.
[10] Mike Thelwall,et al. The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression , 2016, J. Informetrics.
[11] Mike Thelwall,et al. Stopped Sum Models for Citation Data , 2015, ISSI.
[12] Thed N. van Leeuwen,et al. Towards a new crown indicator: an empirical analysis , 2010, Scientometrics.
[13] Xiao-Hua Zhou,et al. Confidence intervals for the log-normal mean . , 1997, Statistics in medicine.
[14] Q. Vuong. Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses , 1989 .
[15] K. Lomax. Business Failures: Another Example of the Analysis of Failure Data , 1954 .
[16] F. Massey. The Kolmogorov-Smirnov Test for Goodness of Fit , 1951 .
[17] S. Resnick,et al. QQ Plots, Random Sets and Data from a Heavy Tailed Distribution , 2007, math/0702551.
[18] V. Larivière,et al. Design and Update of a Classification System: The UCSD Map of Science , 2012, PloS one.
[19] Michal Brzezinski,et al. Power laws in citation distributions: evidence from Scopus , 2014, Scientometrics.
[20] Thed N. van Leeuwen,et al. Towards a new crown indicator: Some theoretical considerations , 2010, J. Informetrics.
[22] Jerzy Neyman,et al. On a New Class of "Contagious" Distributions, Applicable in Entomology and Bacteriology , 1939 .
[23] Colin S Gillespie,et al. Fitting Heavy Tailed Distributions: The poweRlaw Package , 2014, 1407.3492.
[24] Marta Sales-Pardo,et al. Statistical validation of a global model for the distribution of the ultimate number of citations accrued by papers published in a scientific journal , 2010, J. Assoc. Inf. Sci. Technol..
[25] J. Hilbe. Negative Binomial Regression: Preface , 2007 .
[26] David M. Pennock,et al. Winners don't take all: Characterizing the competition for links on the web , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[27] Dalibor Fiala,et al. Publication boost in web of science journals and its effect on citation distributions , 2016, J. Assoc. Inf. Sci. Technol..
[28] Vincent Larivière,et al. Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus , 2009, J. Assoc. Inf. Sci. Technol..
[29] Mike Thelwall,et al. Regression for citation data: An evaluation of different methods , 2014, J. Informetrics.
[30] Industrial Strategy,et al. International comparative performance of the UK research base , 2012 .
[31] Chen Xiaoguan. The UK: The Leader of International Research Base—Based on International Comparative Performance of the UK Research Base-2013 , 2015 .
[32] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[33] Mike Thelwall,et al. Mendeley readership altmetrics for medical articles: An analysis of 45 fields , 2016, J. Assoc. Inf. Sci. Technol..
[34] Michael A. Stephens,et al. Cramér-Von Mises Statistics for Discrete Distributions , 1994, International Encyclopedia of Statistical Science.
[35] A. Pettitt,et al. The Kolmogorov-Smirnov Goodness-of-Fit Statistic with Discrete and Grouped Data , 1977 .
[36] C. Lee Giles,et al. Digital Libraries and Autonomous Citation Indexing , 1999, Computer.
[37] Mike Thelwall,et al. Distributions for cited articles from individual subjects and years , 2014, J. Informetrics.
[38] Quentin L. Burrell,et al. Extending Lotkaian informetrics , 2008, Inf. Process. Manag..
[39] Derek de Solla Price,et al. A general theory of bibliometric and other cumulative advantage processes , 1976, J. Am. Soc. Inf. Sci..
[40] T. S. Evans,et al. Universality of performance indicators based on citation and reference counts , 2011, Scientometrics.
[41] Michael D. Gordon,et al. Citation ranking versus subjective evaluation in the determination of journal hierachies in the social sciences , 1982, J. Am. Soc. Inf. Sci..
[42] D. Darling,et al. A Test of Goodness of Fit , 1954 .
[43] Aristoklis D. Anastasiadis,et al. Tsallis q-exponential describes the distribution of scientific citations—a new characterization of the impact , 2008, Scientometrics.
[44] W. Stahel,et al. Log-normal Distributions across the Sciences: Keys and Clues , 2001 .
[45] Anthony F. J. van Raan,et al. Universality of citation distributions revisited , 2011, J. Assoc. Inf. Sci. Technol..
[46] Claudio Castellano,et al. Universality of citation distributions: Toward an objective measure of scientific impact , 2008, Proceedings of the National Academy of Sciences.
[47] Jonathan Furner,et al. Scholarly communication and bibliometrics , 2005, Annu. Rev. Inf. Sci. Technol..
[48] John W. Emerson,et al. Nonparametric Goodness-of-Fit Tests for Discrete Null Distributions , 2011, R J..
[49] Antonio Perianes-Rodríguez,et al. University citation distributions , 2015, ISSI.
[50] Claudio Castellano,et al. A Reverse Engineering Approach to the Suppression of Citation Biases Reveals Universal Properties of Citation Distributions , 2012, PloS one.
[51] H. Akaike. A new look at the statistical model identification , 1974 .
[52] Vincent Larivière,et al. On the relationship between interdisciplinarity and scientific impact , 2009, J. Assoc. Inf. Sci. Technol..
[53] Amy M. Hightower,et al. Science and Engineering Indicators , 1993 .